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Software Consulting Services

Hire a Consultant

Built in Austin, Texas to solve the biggest roadblocks facing companies around the world – clearing technology roadblocks, helping teams adopt tech, and providing fast access to software consultants in the USA. Dev3lop.com is a grassroots software consultancy founded in 2016.

Let us help you innovate, solve problems, and implement your vision.

Two software consultants sitting behind computers helping clients with consulting engagements

Software Consulting Services

Hire a Consultant

Built in Austin, Texas to solve the biggest roadblocks facing companies around the world – clearing technology roadblocks, helping teams adopt tech, and providing fast access to software consultants in the USA. Dev3lop.com is a grassroots software consultancy founded in 2016.

Let us help you innovate, solve problems, and implement your vision.

Two software consultants sitting behind computers helping clients with consulting engagements

TRUSTED BY TEAMS AT

GoPro
Kroger
Lever

Dev3lop is the right choice for a company of any size.

Josh Byrd

Senior Engineering Manager, SymphonyAI

His easy-going attitude made it very enjoyable to work along.

Eric Pham

Senior Technical PM (AI/ML), SAP

Our Approach

Empowering data-driven teams,

with relevant expertise.

We empower teams to tackle challenges with skilled local consultants, proprietary tech, and proven methodologies—always prioritizing client success. We help companies leverage programming languages to build innovative solutions, including SaaS app development, without being confined to just SaaS (because that’s far too predictable).

As forward-thinking statisticians, full-stack engineers, designers, and data scientists, we dedicate our time to envisioning the future. Our expertise in emerging technologies has made us a trusted resource for clients seeking insights into what’s next in both front-end and back-end frameworks.

DEV3LOPCOM, LLC has a proven track record of delivering end-to-end, production-grade solutions. We help companies unlock the value of archived data to predict better, optimize, and improve their future. We love what we do.

Internal Slack Messages

The team values communication.

Dashboards in Production

We are data focused, from idea to production.

Dev3lop Team Size

Let us focus on meeting your deadlines.

*estimations are based on custom web crawlers; 35.5k LinkedIn Jobs, 776 career pages, and DEV3LOP data.

Save money hiring fractional software consultants in the USA.

With DEV3LOP, you get direct access to top-tier software consultants at a fraction of the cost hiring full-time in the USA. No middleman or delay. 

Save money hiring fractional software engineering consultants in the USA.

With DEV3LOP, you get direct access to top-tier software consultants at a fraction of the cost hiring full-time in the USA. No middleman or delay. 

*estimations are based on custom web crawlers; 35.5k LinkedIn Jobs, 776 career pages, and DEV3LOP data.

Our Team

Software Managers focused on solving problems.

Isabelle

Managing Director
Ex:  Rolex

Picture of Tyler
Tyler

Software Engineer
Ex:  Tableau, PepsiCo

Cody

full-stack engineering

Antoine 

board

Texas based image showing isometric artwork featuring a truck, keyboard, wires connecting things together, and on monitor you can see texas and logo of dev3lopcom, llc a software consulting company based in austin texas

DEV3LOPCOM, LLC
Boutique Software Consulting Services, based in Austin, Texas! We have created Tableau and Power BI Dashboards, managed projects, and custom data engineering solutions for the following clients.

  • The Nielsen Company – 2016 to 2018
  • ExxonMobil – 2018 to 2019
  • Lever.co – 2020 to 2022
  • Colgate, Starkist – 2021 to 2023
  • University of Texas, KPRS, Vayda- 2022-2024

Articles.

 

Implementing Data Security Best Practices

Implementing Data Security Best Practices

Imagine building a towering skyscraper without ensuring the foundation is deeply rooted and secure; undoubtedly, it's destined to crumble at the slightest tremor. Likewise, businesses leveraging data and advanced analytics must establish robust data security...

Real-Time Analytics Architecture Patterns

Real-Time Analytics Architecture Patterns

The effectiveness of your analytics capabilities directly determines how your business navigates critical decisions. Real-time analytics architecture positions organizations ahead of the curve, empowering decision-makers with instant access to data-driven insights. As...

Implementing a Data Observability Strategy

Implementing a Data Observability Strategy

Organizations are inundated with immense volumes of data streaming from multiple operational sources and cloud platforms. As data becomes the backbone of organizational decision-making, ensuring it's accurate, reliable, and easily accessible is no longer optional—it's...

Data Architecture Patterns for Microservices

Data Architecture Patterns for Microservices

Staying competitive means adopting flexible and efficient architectural frameworks. Microservices have become a cornerstone for many forward-thinking organizations because of their scalability, agility, and resilience. However, when it comes to managing data...

Data Engineering Case Study: Scaling to Handle 1 Billion Events Daily

Data Engineering Case Study: Scaling to Handle 1 Billion Events Daily

Imagine processing more than one billion data events every single day. That's more than 11,000 events per second, pouring into your systems from various sources—transactions, IoT sensors, customer interactions, and more. It's not just about managing this relentless...

Performance Tuning for Data Visualization Dashboards

Performance Tuning for Data Visualization Dashboards

In today's increasingly data-driven landscape, impactful decision-making hinges heavily upon actionable insights delivered clearly and swiftly. Data visualization dashboards, transforming raw information into powerful visual narratives, are central to modern business...

The Future of Data Engineering: Trends and Predictions

The Future of Data Engineering: Trends and Predictions

In today's rapidly evolving technological landscape, data engineering sits at the very heart of innovation, providing the foundation upon which modern enterprises are built. As the volume of data explodes and real-time analytics becomes a competitive necessity, the...

Ethical Considerations in Data Engineering and Analytics

Ethical Considerations in Data Engineering and Analytics

In today's rapidly digitizing world, data engineering and analytics have become the lifeblood driving innovation and competitive advantage. Businesses rely heavily on accurately leveraging their data streams; however, such vast quantities of personal and sensitive...

The SaaS You Picked Yesterday Will Be More Expensive Tomorrow

The SaaS You Picked Yesterday Will Be More Expensive Tomorrow

Imagine waking up tomorrow and discovering the software your business relies on has increased its prices dramatically overnight. Yesterday's affordable, game-changing software solution has now become a financial headache looming over your organization. While...

You Don’t Need Tableau — You Need to Learn SQL

You Don’t Need Tableau — You Need to Learn SQL

In today's world, every business buzzword seems to center around Tableau or other visualization tools. Companies often rush towards flashy dashboards and visualization software without first addressing the fundamental foundation—robust data manipulation through SQL....

Data Privacy Regulations and Their Impact on Analytics

Data Privacy Regulations and Their Impact on Analytics

In the digital age, data is both an immense opportunity and an unprecedented responsibility. Businesses are increasingly driven by analytics to enhance customer experience, optimize operations, and innovate products. However, as data flows expand globally, so too does...

How to Kill a Dashboard Before It Kills Your Strategy

How to Kill a Dashboard Before It Kills Your Strategy

We’ve all seen it—a shiny new dashboard causing executives to gather excitedly around screens at launch. Weeks later, the enthusiasm fizzles, user engagement plummets, and your strategic vision drowns in ambiguous visualizations and stale metrics. Dashboard fatigue...

10 Best Practices for Optimizing Spark Jobs

10 Best Practices for Optimizing Spark Jobs

Apache Spark has revolutionized the field of big data analytics by empowering teams to process enormous amounts of data with unrivaled speed and adaptability. However, optimizing your Spark jobs isn't just about unlocking faster execution—it's integral to driving...

Building a Real-Time Dashboard with Streamlit and Kafka

Building a Real-Time Dashboard with Streamlit and Kafka

Businesses can no longer rely solely on batch-processed, historical data. Instead, the competitive environment requires real-time analytics and instant data visibility. A real-time dashboard serves as your business' control tower, enabling immediate awareness and...

A Beginner’s Guide to Data Modeling for Analytics

A Beginner’s Guide to Data Modeling for Analytics

In an increasingly data-driven world, transforming vast amounts of raw data into actionable insights is a cornerstone of success. Decision-makers seeking to propel their organizations forward understand that merely accumulating data isn't enough—it's about...

How to Choose Between SQL and NoSQL Databases

How to Choose Between SQL and NoSQL Databases

Choosing the right database is no longer just about storing information—it's about harnessing insights, driving innovation, and effectively scaling your digital architecture. In an age driven by data-specific decision-making, the choice between SQL and NoSQL is...

Data Visualization Principles: Making Complex Data Understandable

Data Visualization Principles: Making Complex Data Understandable

In a world flooded with data, unrefined numbers alone hardly make an impact. Decision-makers today need actionable information presented with clarity and simplicity in order to discover strategy-shaping insights rapidly and confidently. By tapping intelligently into...

Setting Up a Modern Data Stack on a Budget

Setting Up a Modern Data Stack on a Budget

Imagine extracting deep insights from your data without breaking the bank. Many decision-makers think powerful data stacks are reserved for enterprises with large budgets. The truth is, modern technology has democratized access to data analytics, enabling even small...

Data Quality Testing Frameworks Comparison

Data Quality Testing Frameworks Comparison

Data fuels modern enterprises—all successful decisions, innovations, and strategic moves begin with reliable, accurate data. However, ensuring data quality has evolved into one of the greatest challenges faced by organizations today. With the rise in data complexity...

ETL vs. ELT: Which Approach Is Right for Your Organization?

ETL vs. ELT: Which Approach Is Right for Your Organization?

In today's data-driven world, your organization's ability to capture, analyze, and leverage information can be the critical difference between leading your market or lagging behind. As companies rapidly expand their analytics initiatives, optimizing data engineering...

Designing Data Pipelines for Reliability and Maintainability

Designing Data Pipelines for Reliability and Maintainability

In a landscape where data reigns supreme and businesses rely on rapid insights to drive decisions, the strength, reliability, and maintainability of your data pipeline becomes a mission-critical aspect of your overall data strategy. A thoughtfully-crafted data...

5 Common Data Engineering Anti-Patterns to Avoid

5 Common Data Engineering Anti-Patterns to Avoid

Imagine building a high-performance race car, only to discover halfway through the race that critical parts were incorrectly installed. Data engineering, like race car engineering, demands careful attention and strategy. Unintentionally implemented anti-patterns can...

The Questions We Ask Clients Before Writing a Single Line of Code

The Questions We Ask Clients Before Writing a Single Line of Code

At Dev3lop, we believe that successful software projects don’t start with code—they start with clarity. As a software consulting LLC specializing in data engineering, analytics, and innovation, we’ve learned that the right questions at the outset can make or break a...

Observability Mesh: Building Holistic Data Monitoring Systems

Observability Mesh: Building Holistic Data Monitoring Systems

As digital transformation accelerates, ensuring visibility across complex data pipelines and distributed services has become a top priority. Successful organizations recognize that a one-size-fits-all approach to monitoring no longer suffices in environments where...

Custom vs Off-the-Shelf: Making the Right Call with Clients

Custom vs Off-the-Shelf: Making the Right Call with Clients

Crafting the ideal technology solution is rarely a one-size-fits-all endeavor. For decision-makers who want to accelerate digital transformation, the question of whether to go “custom” or “off-the-shelf” can feel overwhelming. While off-the-shelf solutions boast...

Creating Data-Driven Case Studies That Convert

Creating Data-Driven Case Studies That Convert

In today's competitive digital landscape, decision-makers aren't just looking for technical services—they seek undeniable proof of outcomes. Your consulting practice may have the best analytics strategies, the most robust data infrastructure, and cutting-edge...

Working Sessions Reduce Miscommunication in Analytics Projects

Working Sessions Reduce Miscommunication in Analytics Projects

Miscommunication is often the silent killer of data and analytics projects. With dozens of moving parts—ranging from data ingestion and model development to reporting and stakeholder sign-off—any small misunderstanding can escalate into budget overruns, delayed...

Microservice Telemetry Aggregation Patterns for Real-Time Insights

Microservice Telemetry Aggregation Patterns for Real-Time Insights

In the rapidly evolving landscape of software architecture, microservices have emerged as a powerful way to build scalable, manageable, and robust applications. However, with dozens or even hundreds of services operating simultaneously, capturing real-time insights...

Top 5 Data Mistakes Found in Startups This Year

Top 5 Data Mistakes Found in Startups This Year

In today's ultra-competitive environment, startups need more than innovative ideas – they require a rock-solid data foundation to scale success. Yet, even the most promising startups often stumble, overlooking critical data practices that can differentiate explosive...

Improving ROI on Reporting SaaS Software

Improving ROI on Reporting SaaS Software

In today's hyper-competitive business landscape, organizations are swimming in a sea of data—but not all are able to turn this raw information into actionable intelligence. Many have invested heavily in reporting SaaS software, hoping for transformative analytics and...

DataOps Maturity Assessment: Where Does Your Organization Stand?

DataOps Maturity Assessment: Where Does Your Organization Stand?

In an era where data is the bedrock of innovation and competitive differentiation, enterprises can’t afford to treat data operations as an afterthought. Merely storing and visualizing data isn’t enough—organizations must guarantee reliable, scalable, and high-velocity...

Columnar vs. Document-Based Storage: Granular Performance Analysis

Columnar vs. Document-Based Storage: Granular Performance Analysis

Data storage strategies sit at the heart of modern business operations and serve as the bedrock of any robust analytics infrastructure. The choice between columnar and document-based storage is more than a technical preference—it's a decisive factor that impacts...

If You Use Excel To Solve a Problem, You’re in a Waterfall Project

If You Use Excel To Solve a Problem, You’re in a Waterfall Project

You’ve probably heard it said that Excel is the “Swiss Army Knife” of business tools. It can crunch numbers, track budgets, and even spin up in-house dashboards. But when your organization relies on spreadsheet pivot tables to make key decisions, there’s a strong...

Driving Value in Quick API Consulting Engagements

Driving Value in Quick API Consulting Engagements

In an age dominated by digital transformation, quick API consulting engagements are becoming more crucial than ever. Every organization, from emerging startups to established enterprises, is seeking efficient ways to integrate systems, leverage real-time data, and...

How to Transition from Excel to Data Warehousing

How to Transition from Excel to Data Warehousing

Picture this: You've painstakingly maintained dozens—or even hundreds—of Excel workbooks, passed from team to team. Each spreadsheet is a living document with multiple authors, inconsistent formulas, and infinite tabs. Decision fatigue is high, and trust in your data...

Lowering Dependency On Excel, Boosting Morale and Support

Lowering Dependency On Excel, Boosting Morale and Support

Excel has long been the go-to tool for businesses seeking quick solutions to data problems. Spreadsheets are straightforward, widely accessible, and simple to use. However, as your company grows, so do the complexities and risks involved when relying too heavily on...

Predicting Client Churn with Open Source Tools

Predicting Client Churn with Open Source Tools

The modern business landscape moves quickly, and customer retention is no longer just a benefit—it's a strategic imperative. Today's leading organizations proactively leverage predictive analytics and machine learning to anticipate customer churn before it occurs. By...

When to Say No to a Software Feature (and Why That Builds Trust)

When to Say No to a Software Feature (and Why That Builds Trust)

Imagine sitting in a boardroom, faced with executives who eagerly suggest new software functionalities. Each request oozes ambition, innovation, and potential—yet sometimes, the right decision isn't about embracing every new idea but knowing exactly when to say no. As...

Using Analytics to Measure Brand Sentiment Across Channels

Using Analytics to Measure Brand Sentiment Across Channels

In today's hyperconnected digital landscape, your brand is subject to continuous evaluation, conversation, and perception-shaping interactions across countless platforms. Understanding brand sentiment—how your audience feels about your brand—can make the difference...

Data Engineering for Small Teams: Maximizing Impact

Data Engineering for Small Teams: Maximizing Impact

In today's data-driven world, small teams are frequently tasked with harnessing vast amounts of data to drive informed decision-making. While large enterprises typically have dedicated data engineering squads, smaller teams often face resource limitations that...

Why ELT Makes More Sense Than ETL in 2025

Why ELT Makes More Sense Than ETL in 2025

Picture this: your team just discovered key customer insights, unlocked hidden market opportunities, and significantly shortened your decision cycle—all thanks to accurately handling data at lightning speed. This isn't some future scenario; it's the rapidly...

What Happens When You Give Engineers Too Much Data

What Happens When You Give Engineers Too Much Data

Imagine handing an artist every color imaginable without any instruction—what masterpiece or chaos might you expect? Similarly, giving engineers unlimited access to data can lead to groundbreaking innovation, efficiency gains, and informed business decisions—but also...

Building Proof-of-Concepts with Clients in Real-Time

Building Proof-of-Concepts with Clients in Real-Time

In the fast-paced world of data innovation, business leaders are increasingly looking for smarter, faster paths to demonstrate value and test ideas. Real-time development of proof-of-concepts (POCs) alongside clients is becoming a powerful method for software...

The Overlap Between Analytics and SEO Performance

The Overlap Between Analytics and SEO Performance

In an increasingly digital-first world, businesses often rely heavily on their website’s visibility and discoverability. However, simply having a website isn’t enough to guarantee digital success; understanding analytics is essential to drive meaningful results....

No One Looks at Your Reports. Ouch.

No One Looks at Your Reports. Ouch.

You’ve spent hours, days, 6 months (ouch), maybe even years compiling critical reports. You’ve harnessed cutting-edge tools like Tableau, Power BI, PostgreSQL. You dissected gigabytes of data and created graphs that could impress any CEO. Yet, as you hit "send," you...