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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.Â
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.Â
*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:Â Rolex
Tyler
Software Engineer
Ex:Â Tableau, PepsiCo
Cody
full-stack engineering
AntoineÂ
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.
Golden Signals for Data Pipelines: What to Monitor and Why
In today's data-driven landscape, reliable data pipelines form the backbone of success for any enterprise keen on innovation and analytics. As organizations collect, process, and leverage an unprecedented amount of data, monitoring the health and performance of these...
Operationalizing Data Skew Detection in Distributed Processing
In today's analytics-driven landscape, making informed business decisions depends heavily on timely and accurate data processing. Organizations across industries rely on distributed processing frameworks to handle the growing volumes of data. However, one issue that...
Schema Evolution Patterns with Backward/Forward Compatibility
In today's fast-paced digital ecosystem, data has undeniably become the lifeblood of successful enterprises. Organizations, driving innovation across industries, now face a crucial challenge — managing the evolution of their data schemas to sustain agility, maintain...
Entropy-Based Data Quality Monitoring: Detecting Anomalies Early
Every innovative enterprise understands that in the modern business landscape, data is no longer just an asset—it’s a strategic weapon. High-quality data fuels precise decision-making, accurate forecasting, and reliable insights. On the flip side, poor data quality,...
Domain-Driven Data Design: Bounded Contexts in Data Platforms
In an era where organizations increasingly rely on data-driven insights to fuel growth and innovation, managing complexity has become a significant challenge. Ineffective data management strands organizations in complexity silos, inefficiencies, and misalignment....
Declarative Data Transformation: Moving Beyond Imperative Scripts
In today's fast-paced, innovation-driven data environment, many organizations still find themselves stuck using traditional imperative methods for data transformation tasks. Imperative scripts might seem straightforward initially—like a recipe listing each ingredient...
Holographic Data Modeling for Multi-Perspective Analytics
In today's rapidly evolving data landscape, conventional data modeling techniques are no longer sufficient for organizations seeking real-time insights and diverse analytical perspectives. Decision-makers need a comprehensive view of their business that accounts for...
Quantum-Resistant Encryption for Sensitive Data Storage
In an era marked by transformative waves of digital innovation, the rise of quantum computing looms as both a groundbreaking advancement in technology and a critical security concern. Quantum computers possess an unprecedented ability to harness quantum...
Computational Storage: When Processing at the Storage Layer Makes Sense
In today's data-driven era, every business decision hinges on immediate, accurate, and insightful information. Companies face an escalating avalanche of data, and traditional methods of processing data as an afterthought fall short when performance, scalability, and...
Synthetic Data Bootstrapping for Privacy-Preserving Analytics
In today's data-centric landscape, organizational leaders grapple between balancing powerful analytics with user privacy and compliance. The ever-growing wealth of information at our fingertips offers unparalleled opportunities for insights and innovation, yet...
Automated Data Testing Strategies for Continuous Integration
As organizations continue their rapid journey towards digital transformation, data has become the centerpiece of strategic decision-making. Continuous integration (CI) has emerged as an indispensable practice, enabling businesses to maintain agility, reduce software...
Creating Executive Dashboards That Drive Decision Making
Imagine walking into a meeting, empowered to accurately predict market shifts, streamline operations, and proactively address potential challenges. This is the potential reality when executives leverage insightful decision-making dashboards. In today's rapidly...
When to Use a Data Lake vs. a Data Warehouse
In today's data-driven world, businesses are swimming in an enormous sea of information. Decision-makers seeking to harness the power of data must navigate a vital consideration: when to use a data lake versus a data warehouse. Choosing the correct architecture isn't...
Learning from Experts in 1on1 Sessions to Improve Adoption
Imagine being able to sit down with an elite athlete, absorbing firsthand how they overcome obstacles, refine their techniques, and elevate performance. Now, translate that scenario into your organization's efforts to harness complex technology and innovation. Today’s...
ZeroETL Architectures: The Future of Real-Time Analytics
Real-time analytics represent the cornerstone of effective decision-making. Traditional data pipelines often involve complex data extraction, transformation, and loading (ETL) processes that introduce latency, errors, and significant overhead. As the need for...
Semantic Embeddings for Business Intelligence: Beyond Keywords
In today's rapidly-evolving data landscape, keywords alone aren't sufficient to uncover the depth of insights hidden within vast collections of business data. Leaders striving to make informed, future-forward decisions realize the limitations of surface-level textual...
Non-Blocking Data Loading Patterns for Interactive Dashboards
In today's digital age, interactive dashboards are key strategic tools for decision-makers seeking real-time insights and dynamic analytics. However, user experience can quickly degrade—along with user patience—when dashboards stall due to inefficient data loading....
Why “Data-Driven” Doesn’t Always Mean Smart Decisions
Imagine you're steering a ship through dense fog, and your compass points in a clear direction—but what if your compass happens to be misaligned? Today's organizations are constantly gathering and analyzing vast piles of data, often convinced this precision ensures...
Parameter-Efficient Transfer Learning for Time Series Forecasting
This may come as a shock, awe, but most organizations constantly grapple with forecasting accuracy and complexity. Time series forecasting remains critical across finance, retail, manufacturing, healthcare, and more, influencing everything from inventory planning to...
Polyglot Visualization: Combining Multiple Libraries for Richer Insights
In a rapidly evolving digital landscape, relying on only one visualization library can limit your analytics potential. Decision-makers today require versatile, dynamic insights—insights that transcend traditional boundaries, unearthing trends, correlations, and hidden...
Installing a Database Local is Helpful To Escaping Excel
Excel has been the go-to tool for many professionals seeking quick data organization and number crunching. It’s user-friendly, universally recognized, and fairly flexible in its ability to handle smaller datasets. However, the moment your organization starts to...
Geospatial Tensor Analysis: Multi-Dimensional Location Intelligence
Embrace multi-dimensional location intelligence, a field revolutionized by the power of geospatial tensor analysis. By exploring spatial data across multiple facets—such as locations, time series, user behaviors, and environmental variables—geospatial tensors unlock...
Ambient Data Governance: Embedding Quality Control Throughout the Pipeline
In today's hyperconnected digital landscape, data flows through environments as seamlessly as oxygen moves around us. This ambient data—ubiquitous, real-time, and vital—is fueling innovation, enabling insights, and creatively disrupting industries at an unprecedented...
Thread-Local Storage Optimization for Parallel Data Processing
The capability to process massive volumes of data concurrently and efficiently is no longer just beneficial—it's absolutely critical. As the demand for real-time analytics, rapid decision-making, and scalable processing continues to surge, IT leaders grapple daily...
Causal Inference Frameworks for Business Decision Support
Making decisions without understanding the true cause-and-effect relationships can mean navigating blindly through opportunities and threats. As organizations evolve towards more sophisticated analytical capabilities, business leaders and decision-makers now recognize...
Differentiable Data Structures for ML-Enhanced Analytics
In a world of analytics and machine learning, differentiable data structures emerge as a game-changing advancement. Combining computational efficiency with seamless model optimization capabilities, differentiable data structures drive ML-enhanced analytics into an...
Quaternion-Based Visualization for Higher Dimensional Data
Imagine having the ability to visualize rich, multidimensional data sets clearly, effortlessly, and intuitively. In a world drowned with immense volumes of complex data, to decipher meaning from that information becomes increasingly challenging. Quaternion-based...
Adaptive Parallelism in Data Processing: Dynamically Scaling Resources
In today's fast-paced digital landscape, the ability to adapt quickly is crucial to success. Whether it's business intelligence, predictive analytics, or real-time data processing, enterprises face constant pressure to optimize performance while managing...
Multi-Modal Data Fusion Strategies for Comprehensive Analysis
In today's data-driven world, innovation demands a deeper understanding of your information landscape. As data volumes exponentially grow and diversify, simply relying on one modality or one source no longer provides an adequate panorama for informed decision-making....
Knowledge Distillation Techniques for Lightweight Dashboard Models
Imagine your company's monthly review meeting enriched by vibrant dashboards that speak clearly to both technical experts and executives alike. Instead of cumbersome load times or performance bottlenecks, your analytics dashboards load seamlessly, offering clarity...
Self-Healing Data Pipelines with Circuit Breaker Patterns
In today's digitally-driven market landscape, data availability isn't just an asset; it's your organization's lifeblood. An unexpected outage or pipeline failure can disrupt operations, hinder customer experiences, and cause significant revenue losses. As your...
Explainable Computation Graphs for Transparent Data Transformations
Organizations increasingly rely on advanced analytics and machine learning models, the ability to clearly understand and audit complex data transformations becomes essential. Explainable computation graphs not only demystify intricate data workflows but also enhance...
Machine Learning Pipeline Design for Production
Businesses are continuously harnessing technologies like machine learning to drive informed decisions, optimize performance, and fuel innovation. However, transitioning machine learning models from a research environment into robust production systems is a strategic...
Cost Optimization Strategies for Cloud Data Services
Cloud data services have revolutionized how we store, process, and analyze data, unlocking enormous potential for businesses to leverage analytics in their decision-making. Yet, without strategic oversight, cloud costs can swiftly spiral out of control, negatively...
The Data Engineer’s Guide to Infrastructure as Code
Infrastructure as Code (IaC) has emerged as a transformative methodology, weaving together software development and infrastructure management to enable quick, accurate, and repeatable deployments. For data engineers, the implications of IaC are profound, offering new...
Why Your First Data Hire Shouldn’t Be a Data Scientist
Data Scientists often don't know SQL and get stuck fixing excel based analytics in many cases. Gaining the degree doesn't mean you leave knowing about relational theory. With that said, when businesses first consider expanding their data capabilities, "data scientist"...
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...