Software Consulting Services
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Software Consulting Services
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TRUSTED BY TEAMS AT
Dev3lop is the right choice for a company of any size.
His easy-going attitude made it very enjoyable to work along.
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
Tyler
Software Engineer
Ex: Tableau, PepsiCo
Cody
full-stack engineering
Antoine
board
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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 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?
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
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
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
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
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
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...
Polyglot Persistence Architectures: When to Use Multiple Database Types
Imagine a data landscape that seamlessly blends flexibility, speed, and scalability—without forcing you to compromise on performance. Sounds like the stuff of dreams? Welcome to the world of polyglot persistence. Instead of relying on a single, one-size-fits-all...
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
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
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
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...
What’s it like Hiring Engineers Focused On Improving Your Data Environment
Hiring engineers specifically dedicated to enhancing your data landscape isn't just a staffing decision—it's an investment in the future of your organization. The right data engineer transforms your entire business ecosystem, turning fragmented information into...
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?
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
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...
Data Lakehouse Implementation: Bridging the Gap Between Lakes and Warehouses
As a software consulting LLC specializing in data, analytics, and innovation, we’ve witnessed firsthand the evolution of how businesses manage their ever-growing information repositories. Until recently, companies were forced to choose between sprawling data...
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
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
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
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
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)
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
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
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 Hourly Software Consulting is the Future of Adaptive, Scalable Innovation
The digital landscape is evolving at warp speed, and businesses seeking to thrive must find ways to innovate swiftly, adaptively, and at scale. Gone are the days when monolithic, one-size-fits-all solutions could keep pace with today’s relentless market demands....
How to Fix a Failing Dashboard Strategy: Creative Insights for Data-Driven Transformation
Imagine this: your organization has invested significant time and capital into building sleek dashboards, anticipating clarity, action, and ROI. Yet, the data story is muddled, users are disengaged, and the value falls short of expectations. If this scenario feels...
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
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
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
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.
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...