From Data to Value! I’m a senior data engineer with 8+ years working across SaaS, analytics, and cloud platforms. My work sits at the intersection of data engineering and cloud architecture, helping companies move from scattered data to structured, decision-ready systems. I’ve led data platform builds from scratch, but also stepped into existing environments to fix pipelines that were slow, fragile, or impossible to maintain. Data Engineering ▪️ Designing ETL pipelines that are stable and easy to debug ▪️ Building warehouse layers that support real analytics, not just storage ▪️ Cleaning and restructuring legacy data systems Cloud Data Platforms ▪️ Snowflake, AWS, and modern data stack implementations ▪️ Data architecture that scales without unnecessary complexity ▪️ Cost aware infrastructure design Analytics & ML Support ▪️ Preparing datasets for reporting and forecasting ▪️ Supporting BI tools like Tableau and Power BI ▪️ Structuring data for ML pipelines when needed Let’s put your data to work where it matters most.

It was the most important moment of my 13+ years of career. It was when I realized that there is always a trade-off in technology. You have to do something intentionally bad in order to succeed as a Small Medium Business in the Digital Transformation. And 70% fail because they insist on doing this very thing well. A while back, when I finally landed a job in a corporation, I was excited that I was going to use state-of-art technology. But, one of my first features immediately added some bugs. As I fixed those bugs, I introduced another, but also other bugs started to pop up caused by previous developers. In laymen terms, it is like a Rubik’s cube. As you carry on assembling the second face, you may accidentally mess up the first bit. It wasn’t like that when I started my career in technology in the civil service a long time ago. Yes, I was frustrated because we used old boring technology. But, we didn’t have to put out the fire all the time because that limited technology prevented us from getting in this position. Coincidence or not, the easiest way to solve the Rubik’s cube is putting constraints. If you move towards, you have to move backwards at some point. Fast forward to nowadays, some of my clients want to create highly customized User Experience. As the project starts to grow, hyper customization introduces more complexity. Then, you make a small change and get unexpected results. You didn't account for all the complex consequences. And this happens again and again, and you can’t avoid it. The software had become brittle. You start to miss deadlines or have to hire more developers to fix cracks faster, and eventually I get hired. That’s the time I have the hard talk: don’t bite more than you can chew, stop chasing the perfect User Experience (good User Interface is not a problem though) with a small team. If a BigTech didn’t have to hire thousands of engineers to provide that, they certainly wouldn’t. Anyway, User Experience is only noticed by B2C clients, and this is where Big Techs thrive. In B2B or internal tool software, who pays for the software won’t even use it. Hey, my name is João, I’m a software architect and developer, feel free to send me a message asking how I can make your business grow. What technologies do I work with? The simple ones: HTML, CSS, Bootstrap, Bash, XML, PostgreSQL, Apache Camel, Apache Knowledge Is Everything, Keycloak. If you need a hypercustomized solution, I can decently program in Java, Python and JavaScript, though. If you have any doubts, don’t hesitate to contact me.

I help Retail, SaaS, Manufacturing, Healthcare, FinTech, and Construction/Engineering companies turn raw data into AI-driven decisions, predictive insights, and scalable analytics systems. Over the past 10 years, I’ve delivered data platforms, AI models, and BI solutions that have reduced inventory errors by 30%, improved forecast accuracy, lowered operational overhead, and enabled real-time decision-making for 50+ brands. Core Expertise 1. AI & Machine Learning Forecasting, Churn/LTV modeling, Pricing optimization, Underwriting risk models, NLP/LLM insights, Predictive maintenance. 2. BI & Decision Intelligence Power BI, Looker, Tableau dashboards; KPI frameworks; semantic modeling; executive reporting; self-service analytics. 3. Cloud Data Platforms & Architecture Snowflake, Redshift, BigQuery, Azure Fabric; DWH design; data lakes; scalable data modeling; performance optimization. 4. Data Engineering & Automation ETL/ELT pipelines, dbt, ADF, Airflow, API integrations, data quality frameworks, orchestration, CI/CD for data. 5. Strategic Analytics Consulting Roadmaps, architecture reviews, reporting frameworks, improving data maturity, identifying revenue/efficiency opportunities. Why Clients Choose Me • 10+ years experience across 6 global industries • Quantified business results from real-world implementations • Clear communication + fast execution • Ability to scale delivery via a small, specialized engineering & analytics team • AI-first approach to modernize analytics, reduce inefficiency, and unlock growth • Transparent documentation, clean architecture, and long-term maintainability If you need a partner—not just a freelancer—to architect, engineer, and deploy high-impact analytics or AI systems, I can help. Let’s build something that delivers measurable outcomes, not just dashboards. Ready to turn your data into a competitive advantage? Message me or invite me to your job posting — I respond within a few hours.

⭐ Top Rated Plus | $400K+ Earned | 23,000+ Hours | 100% Job Success I help businesses modernize and scale .NET applications — turning slow, hard-to-maintain legacy systems into fast, secure, scalable platforms, without a risky full rewrite. From ASP.NET Web Forms migrations to enterprise systems running 300GB+ databases, I specialize in the complex, business-critical work most developers avoid. Increasingly, clients bring me in for a second reason: they want AI capabilities — document intelligence, smart search, workflow automation — and their legacy system can't support them. I fix the foundation and build the AI on top. Over 14 years, I've delivered 89+ projects on Upwork with consistent 5-star results, including a 1,300+ hour engagement with a single client who kept coming back. What I bring to your project: 🔹 Legacy .NET Modernization — Migrating ASP.NET Web Forms & .NET Framework apps to ASP.NET Core / .NET 8, incrementally and without breaking what already works 🔹 SQL Server Performance Specialist — Complex queries, stored procedures, query optimization, and scaling databases to 300GB+ 🔹 AI Integration on Legacy Systems — Production OpenAI/LLM features: document intelligence, RAG search over your business data, OCR pipelines. Built on a modernized foundation, not bolted onto a fragile one 🔹 Full-Stack .NET Depth — ASP.NET (Web Forms, MVC, Core), C#, Web API/REST, Entity Framework, LINQ 🔹 Modern Front-End — React, Angular, Vue.js, Blazor, TypeScript, Tailwind, Bootstrap 🔹 Cloud & DevOps — Azure (primary), plus AWS & GCP experience, Azure DevOps, CI/CD pipelines, Git 🔹 Integrations — Payment systems (Stripe subscription billing for a healthcare platform), third-party APIs, MongoDB, CosmosDB Why clients rehire me: ✅ Clear, proactive communication (0–4 hour response time) ✅ Reliable availability in US time zones — I regularly work Eastern and Pacific hours ✅ Clean, maintainable, well-tested code ✅ Enterprise-standard code reviews, team leadership, and developer mentoring ✅ Solving hard problems — not just "making it work" Not sure where to start? I offer a fixed-fee, two-week Legacy Health Audit: your slowest queries analyzed, a risk map of your codebase, a phased modernization roadmap, and an AI-readiness assessment — so you know exactly what's wrong and what it will cost to fix, before you commit to anything. Whether you need a legacy system modernized, a SQL Server database that's buckling under load, AI features your current stack can't deliver, or a senior engineer to unblock your team — let's talk. Describe your application and I'll tell you specifically how I'd approach it. I'll respond within 4 hours.

I help enterprise and operations-heavy teams turn messy business processes into reliable systems. I’ve spent 15+ years building and leading production software systems: .NET platforms, Azure infrastructure, SQL databases, APIs, internal tools, reporting workflows, and business-critical applications. That background lets me bridge the gap between AI experimentation and software that a real business can actually depend on. I work best where software needs to connect with real operations - documents, databases, CRMs, spreadsheets, internal portals, legacy systems, approval workflows, reporting processes, and human review steps. I use Claude Code and OpenAI Codex as part of my daily engineering workflow: reviewing codebases, planning features, accelerating development, testing ideas, refactoring safely, and turning business requirements into working software faster. My value is knowing how to apply AI inside real production environments where architecture, security, data quality, maintainability, and auditability matter. I can help with: 🔧 Process Engineering - mapping workflows, finding automation opportunities, and designing safer AI-assisted processes 🤖 AI Automation - document processing, internal tools, reporting automation, CRM/data-entry support, and review queues 🧠 AI/LLM Development - assistants, RAG/search, structured outputs, guardrails, evaluations, and human-in-the-loop workflows 🏗️ .NET / Azure / SQL Integration - connecting AI into existing enterprise systems without creating fragile side projects 📐 Fractional CTO / Technical Lead Support - architecture, roadmap planning, risk review, estimates, and execution strategy A typical first step is a short discovery and workflow review. From there, I give you a prioritized plan: what can be automated, what should stay human-reviewed, where the risks are, what it will cost, and what can be shipped first. Message me with your current process, stack, pain point, and deadline. I’ll help you turn the time-sink into a working system.

With over 𝟖 𝐲𝐞𝐚𝐫𝐬 of experience in 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 and 𝐜𝐥𝐨𝐮𝐝 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬, I specialize in 𝐝𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠, 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐢𝐧𝐠, and 𝐨𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐧𝐠 𝐫𝐨𝐛𝐮𝐬𝐭, 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, and secure data pipelines. I’ve successfully delivered enterprise-grade solutions on 𝐀𝐳𝐮𝐫𝐞, 𝐀𝐖𝐒, 𝐆𝐂𝐏, and 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞, handling large-scale data integration, processing, and analytics projects. I work with startups, SaaS companies, and enterprises to turn scattered, unreliable data into production-ready cloud data platforms that leadership trusts. 𝐌𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐈𝐧𝐜𝐥𝐮𝐝𝐞𝐬: 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐄𝐓𝐋 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 - Azure Data Factory, Databricks, Event Hubs, Stream Analytics - AWS Lambda, S3, Data Pipeline, EMR - GCP Composer (Airflow), BigQuery, GCS - Orchestration of large-scale ETL workflows & automated pipelines 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 - Apache Spark, PySpark, Scala, Kafka, Delta Lake - DataLake, Snowflake (Tasks, Snowpipes, Stored Procedures) - Real-time analytics & event-driven architecture - BI dashboards & prebuilt retail/grocery analytics solutions 𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠 & 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 - Python, PySpark, SQL, C#, .NET SDK, Scala - Data mining, web scraping (Selenium, Python) - Advanced ML & AI integration: Scikit-learn, TensorFlow, Keras, MLflow 𝐀𝐏𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 & 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 - API-driven architectures for seamless data movement - Azure Functions, Snowflake Tasks, Trigger Functions - Cloud-native solutions ensuring high reliability & scalability 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 - Regression, Classification, Neural Networks, Decision Trees - SMA/WMA/EMA forecasting for business insights - ML lifecycle management with MLflow 𝐓𝐨𝐨𝐥𝐬 & 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 Azure: Data Lake Gen1/2, Synapse Analytics, Cosmos DB AWS: EC2, S3, Athena, Lambda GCP: BigQuery, Composer, GCS Databricks, Hortonworks HDP, Apache Spline, ELK Stack Version control & CI/CD: Git, dbt Cloud jobs Cloud: Azure, AWS, Google Cloud Platform (GCP) Data Platforms: Databricks, Snowflake, BigQuery, Synapse Pipelines: Azure Data Factory, Airflow, AWS Glue Languages: SQL, Python, PySpark BI: Power BI, Tableau, Looker Databases: PostgreSQL, SQL Server, Oracle, MySQL DevOps: Docker, CI/CD, GitHub, Azure DevOps Architecture: Lakehouse, Medallion Architecture, Modern Data Stack 𝐖𝐡𝐲 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞? - Microsoft-certified Data Engineer with cloud expertise (Azure, AWS, GCP) - Proven track record of delivering enterprise-scale ETL, BI, and ML solutions - Expertise in real-time data streaming, orchestration, and predictive analytics - Timely delivery of high-quality solutions aligned with business objectives - Full-stack data engineering: from ingestion to transformation to insights 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬: Data engineering, Azure Data Engineer, cloud data solutions, ETL pipelines, Databricks, DataFactory, Event Hubs, Stream Analytics, Snowflake, BigQuery, Python, PySpark, Scala, real-time data, predictive analytics, ML integration, data orchestration, API integration, Snowpipes, Azure Functions, AWS Lambda, data lakes, BI dashboards, web scraping, data mining, machine learning, data pipelines, cloud optimization, enterprise data solutions. 𝗛𝗮𝘀𝗵𝘁𝗮𝗴𝘀: #DataEngineer #SeniorDataEngineer #CloudDataEngineer #AzureDataEngineer #AWSDataEngineer #GCPDataEngineer #ETL #ELT #DataEngineering #CloudDataPlatforms #DataWarehousing #LakehouseArchitecture #SQL #Python #PowerBI #AnalyticsEngineer #CICD #AzureDataFactory #BigQuery #EnterpriseAnalytics #ProductionDataPipelines #CloudOptimization If you’re looking for a Data Engineer who builds production-ready cloud data platforms not just scripts or dashboards let’s talk.

Get reliable data pipelines, trusted dashboards, and a single source of truth your team can actually use. I’m a Senior Data Engineer and BI Consultant with 9+ years of experience designing, building, and maintaining modern data platforms across AWS, GCP, Microsoft Fabric, Power BI and Data Studio. I help businesses move from scattered files, broken pipelines, slow reports, and unreliable dashboards to clean, automated analytics systems that support faster and better decision-making. I specialize in cloud data engineering, data warehousing, lakehouse architecture, dbt transformations, and business intelligence solutions that are production-ready, scalable, and easy to maintain. 𝐇𝐞𝐫𝐞’𝐬 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐃𝐨 𝐅𝐨𝐫 𝐘𝐨𝐮: ✅ Design and build automated data pipelines across AWS, GCP, and Microsoft Fabric. ✅ Build modern data warehouses and lakehouses using Redshift, BigQuery, Databricks, Synapse, S3, and Apache Iceberg ✅ Develop clean transformation layers using dbt, SQL, PySpark, Python, and Power Query. ✅ Implement reliable data models using Kimball Multi-Dimensional Modeling, and Data Vault 2.0 ✅ Build streaming pipeline using Amazon MSK, and Kafka ✅ Build executive dashboards in Power BI, Looker Studio, Tableau, Excel, and Google Sheets. ✅ Improve slow reports, broken pipelines, poor data quality, and unreliable analytics workflows. ✅ Document systems clearly so your team can understand, maintain, and scale them. 𝐒𝐤𝐢𝐥𝐥𝐬 𝐓𝐡𝐚𝐭 𝐌𝐚𝐭𝐭𝐞𝐫: ➡️ Cloud Data Engineering: AWS, GCP, Microsoft Fabric, Azure ➡️ Data Warehousing: Redshift, BigQuery, Snowflake, Synapse Analytics ➡️ Data Lakes & Lakehouse: Amazon S3, ADLS, GCS, Delta Lake, Medallion Architecture ➡️ Data Transformation: dbt, SQL, Python, PySpark, Pandas, Power Query ➡️ Orchestration & Automation: Airflow, AWS Glue, Azure Data Factory, Cloud Dataflow ➡️ BI & Analytics: Power BI, Looker Studio, Excel, Google Sheets ➡️ Data Modeling: Kimball, Data Vault 2.0, Star Schema, Semantic Layers 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐔𝐬𝐞: Power BI, Looker Studio, dbt, Python, SQL, PySpark, Airflow, AWS Glue, AWS DMS, Lambda, Redshift, Athena, BigQuery, Snowflake, Microsoft Fabric, Azure Data Factory, Synapse Analytics, Amazon S3, ADLS, GCS, GitAction, CI/CD. 𝐖𝐡𝐚𝐭 𝐘𝐨𝐮 𝐂𝐚𝐧 𝐄𝐱𝐩𝐞𝐜𝐭: ✅ Clean, automated data pipelines ✅ A reliable single source of truth ✅ Fast SQL and Python processing ✅ Dashboards that are clear, useful, and adopted by the business ✅ Strong data quality, testing, and documentation ✅ Clear communication and dependable delivery ✅ A complete BI package, not just another dashboard Whether you need a new pipeline, a scalable data warehouse, a lakehouse, a dbt project, a Power BI dashboard, or a full end-to-end analytics system, I can help you design it properly and deliver it with confidence. Send me a message with your current data challenge, and let’s discuss how to turn it into a reliable analytics solution.

With 15+ years of experience, I deliver scalable, high-performance solutions blending Data Engineering, Full-Stack Development, and Analytics. I’ve partnered with global enterprises including Bosch, Pearson, ABN AMRO, Thomson Reuters, MSCI, Mercy, Krones, Amazon, and leading startups across Finance, eCommerce, Healthcare, and Supply Chain. Past Clients & Projects: - Wellnicity – MVP founding engineer: AI-driven health insights. - Almana HealthCare – Delivered CMS, portals, and patient apps. - Byway – Brand management tools with Amazon integrations & BI dashboards. - Bosch, Pearson, ABN AMRO – Built enterprise ETL pipelines, cut costs by 92% with Kafka, DBT, Trino, BigQuery. Key Expertise: ✔ Data Engineering – ETL, SQL, Kafka, Spark, BI dashboards, cloud orchestration (Airflow, Prefect, Dagster). ✔ AI & ML – Predictive models, recommender systems, generative AI (PyTorch, TensorFlow, Ray). ✔ Full-Stack Development – Python, .NET, C#, Node.js, React, Angular, Django, Azure, AWS. ✔ Big Data & Cloud – Event-driven architectures, microservices, serverless, cost-optimized pipelines. I specialize in turning complex data and tech challenges into scalable, business-focused solutions. If your business depends on data, cloud, and full-stack systems running flawlessly 24/7, let’s connect.

I am a software engineer with 26+ experience (18 years in corporate world and rest as freelancer). A data analytics, warehousing and BI specialist - as a freelancer, I have been building super efficient, cost effective and light weight solutions using data modeling, ETL, power bi, vba scripting (excel/word/powerpoint), sharepoint power apps, power query and SQL. I have been leveraging my knowledge in various technologies, process, problem redressal, transparent communication etc. to deliver solutions/implementations for customers. I have played roles of business analyst, architect, technocrat, project manager and a business user which helps me in gaining a 360 degree view of a problem. My technical skills helps me arrive at a problem that is viable and meaningful. Prior to freelancing i have worked for large companies like Texas Instruments, Microsoft, Apple, Intel, Boeing, Syngenta in technical and managerial capacities. Technically I have worked in Java, dotnet and PHP technologies with Oracle/MSSQL/MYSql as backend. I am very strong in the all web technologies as well as databases. I would be able to perform solution architecture, design and implementation. I Hold 2 patents in USA. I am very passionate about using my analytical and technical ability to comprehend the problem and design a solution that is accurate, easy to use, scalable and highly maintainable. There are many that do just what is told to you, but i like to own up the problem on my customer's behalf and define and implement a solution. I am very well versed with remote execution model having executed over 250 projects in technical and leadership roles from USA as well as from India.

Hello! I’m Bera, a Backend Engineer, API Developer, and Cloud Engineer focused on building reliable backend systems, scalable APIs, database-driven applications, and cloud-ready software solutions. As a Backend Engineer, I develop the server-side architecture, business logic, authentication systems, database connections, and application services behind modern web platforms. My core Back-End Development expertise includes Node.js, Python, JavaScript, RESTful API development, MongoDB, PostgreSQL, MySQL, API development, and Back-End Development Frameworks. As an API Developer, I design, build, integrate, and improve RESTful APIs that connect web applications, databases, frontend systems, mobile products, and third-party platforms. My API development work covers endpoint architecture, data validation, authentication, database operations, error handling, API Integration, documentation, debugging, and performance optimization. As a Cloud Engineer, I structure backend applications and APIs for reliable deployment, scalability, maintainability, and continued product development. I help teams prepare their Back-End Development systems, databases, and RESTful API architecture for cloud-based environments while keeping the software easy to manage and expand. I work with MongoDB, PostgreSQL, and MySQL to design database structures, manage application data, optimize queries, and create reliable connections between databases, APIs, and user-facing applications. I also develop authentication systems, user-management features, server-side workflows, business logic, data-processing functionality, and backend services for web and mobile applications. Although my primary focus is Back-End Development and API development, I also understand how backend systems connect with frontend technologies. I can collaborate effectively on applications built with Angular, React, JavaScript, HTML, CSS, and CSS3, ensuring smooth communication between the frontend, RESTful APIs, databases, and backend services. I can support new application development, existing backend maintenance, RESTful API creation, API Integration, database development, application debugging, backend modernization, performance improvement, and cloud-ready architecture. I can also review an existing Node.js or Python codebase, fix API and database issues, improve application logic, and add new functionality without disrupting the current product. My goal is not simply to write server-side code. I build complete backend systems where APIs, databases, authentication, application logic, frontend integrations, and deployment requirements work together reliably. For a scalable backend platform, secure RESTful API, database-driven web application, or cloud-ready software solution, I bring the combined perspective of a Backend Engineer, API Developer, and Cloud Engineer from technical planning through production-ready delivery.