Hire the Best ETL Developers
in the United States

I help businesses turn raw operational data into reporting systems, dashboards, and decision tools that improve visibility, reduce risk, and support better business decisions. My work combines SQL development, data warehouse design, reporting, KPI analysis, and business-focused data interpretation. I am especially effective in environments where data exists but is difficult to use, inconsistent across systems, or not yet structured for reliable reporting. I can help with: • SQL query development and optimization • Data warehouse design and ETL structure • Reporting views and business reporting layers • Dashboard development and KPI reporting • Risk analysis and performance measurement • Data quality investigation and reconciliation I also bring strong project awareness and business context, which helps ensure technical work aligns with operational goals and real decision-making needs. Where needed, I can support custom technical solutions and software-oriented problem solving as part of broader data initiatives.

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐠𝐫𝐚𝐝𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐟𝐨𝐫 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐝𝐞𝐚𝐥𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐛𝐫𝐨𝐤𝐞𝐧 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐬𝐜𝐚𝐭𝐭𝐞𝐫𝐞𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐬𝐥𝐨𝐰 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐮𝐧𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐦𝐞𝐭𝐫𝐢𝐜𝐬. I’m a Senior Data Engineer with 10+ years of experience building cloud data platforms, ETL/ELT pipelines, lakehouses, warehouses, and analytics-ready data layers using Microsoft Fabric, Snowflake, AWS, BigQuery, dbt, Python, SQL, Airflow, Fivetran, Airbyte, and Databricks. My focus is not just moving data from point A to point B. I design reliable data systems that are automated, scalable, well-modeled, and trusted by business teams. 𝐖𝐡𝐚𝐭 𝐈 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 ✅ 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Lakehouse, Warehouse, Dataflows Gen2, pipelines, notebooks, semantic models, Medallion architecture, and Power BI-ready data layers. ✅ 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, SQL Server, and Azure Synapse architecture. ✅ 𝐄𝐓𝐋/𝐄𝐋𝐓 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 API ingestion, database replication, SaaS integrations, file ingestion, batch jobs, incremental loads, and scheduled workflows. ✅ 𝐝𝐛𝐭 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Staging, intermediate, marts, incremental models, tests, documentation, metric definitions, and business logic standardization. ✅ 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 Airflow, Dagster, AWS Lambda, Glue, Step Functions, ADF, CI/CD, monitoring, retries, alerts, and production workflow automation. ✅ 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 Deduplication, reconciliation, schema drift handling, validation rules, MDM, Golden Record logic, RBAC, access control, and audit-ready reporting layers. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Built a centralized Fabric platform with Lakehouse, Warehouse, Dataflows, pipelines, semantic models, and Power BI reporting layers for a global organization with fragmented reporting sources. 𝐍𝐞𝐚𝐫 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Designed operational pipelines into Snowflake with incremental ingestion, schema change handling, deduplication, retries, and reliable dbt-based reporting models. 𝐌𝐨𝐝𝐞𝐫𝐧 𝐒𝐚𝐚𝐒 𝐝𝐚𝐭𝐚 𝐬𝐭𝐚𝐜𝐤 Centralized HubSpot, Stripe, GA4, Google Ads, Salesforce, MongoDB, and product data into BigQuery/Snowflake using Fivetran, Airbyte, dbt, Dagster, and Metabase. 𝐋𝐞𝐠𝐚𝐜𝐲 𝐦𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐜𝐥𝐨𝐮𝐝 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 Led migrations from SQL Server, SAP BW, Oracle, Hadoop, and on-prem systems into modern cloud warehouses with optimized performance and automated workflows. 𝐀𝐖𝐒 𝐝𝐚𝐭𝐚 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Built automated workflows using S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, and Python to reduce manual reporting and improve pipeline reliability. 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 Microsoft Fabric, Snowflake, BigQuery, Redshift, Databricks, Azure Synapse, PostgreSQL, SQL Server, Oracle, SAP BW, Hadoop, dbt, Python, SQL, Airflow, Dagster, Fivetran, Airbyte, ADF, SSIS, Talend, AWS S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, Power BI, Tableau, Metabase, and Looker. You should reach out if you need a senior data engineer to: ✅ Build a cloud data warehouse or lakehouse ✅ Migrate legacy systems to Snowflake, Fabric, BigQuery, or AWS ✅ Fix unreliable ETL/ELT pipelines ✅ Design dbt models and trusted reporting layers ✅ Automate manual reporting workflows ✅ Integrate APIs, CRMs, ERPs, databases, and SaaS platforms ✅ Build production-ready data infrastructure for analytics and BI If your data stack is messy, slow, or hard to trust, send me a message. I’ll help you map the cleanest path from scattered systems to a reliable data platform.

Hi, I create high-performance, full-stack data applications that turn raw, complex data into clear business intelligence and user-friendly interfaces. As a senior engineer with 8+ years of hands-on experience, my core strengths include: - Building reliable, large-scale ETL pipelines in Python, using tools like Airflow, Pandas, and Spark to manage high-volume data efficiently and without failures - Developing clean, interactive front-end experiences with React, TypeScript, Redux, and styling frameworks like Material UI or Tailwind CSS, perfect for data dashboards and visualizations that drive decisions - Creating secure, scalable back-end services with FastAPI, Flask, or Django; relational databases like PostgreSQL; cloud warehouses such as Snowflake or BigQuery; and multi-cloud environments (AWS, GCP, Azure) featuring well-designed REST APIs and microservices - Designing end-to-end architectures for real-time streaming, batch processing, seamless zero-downtime deployments, and robust production infrastructure One of my proudest achievements: I spearheaded the overhaul of an outdated ETL workflow for a growing SaaS company. By shifting to a modern stack of Python, Airflow, and Snowflake, we dropped daily run times from more than 4 hrs to under 45 min. This delivered major savings, around $180,000 annually in cloud expenses, while powering live, responsive React dashboards for instant analytics. Businesses bring projects to me because I focus on delivering high-quality, maintainable solutions that solve actual problems quickly, whether revamping slow legacy data systems, speeding up reporting platforms, or taking new SaaS capabilities from idea to live deployment. If you're ready to tackle a challenging data or full-stack project, Please let's connect and discuss how I can help make yours succeed. Best regards,

I'm a Data engineer and Back-end developer. Technical skills -- Data Engineering • Expertise in Python • SQL • ETL/ELT with Python, Databricks (Pyspark), DBT, Dagster, Airbyte and a lot of AWS services. • SQL master • Python Google Style Guide. • Microsoft Power BI / Tableau for Data Analysis • Agile, Extreme Programming (XP) & Clean Code (and Google Python Style Guide) -- Backend Developer • Django / Fast API • Node.js • PostgreSQL -- Cloud/DevOps • AWS: Batch, Step Functions, Glue, Athena, Boto3, Lambda, S3, EC2, IAM, KMS, SQS, etc. • Bash. Docker + ECS. CI/CD - GitHub actions. Terraform, SAM, Code Pipeline. If your project requires my skills, call me anytime.

Cloud Solution Architect with engineering experience in Cloud SQL Big Data technologies including Data Architecture to support various Business Intelligence needs. Solution Architect in Technical Teams on Cloud Data Solutions into various Cubes, Data Marts, and ERP Systems. Developed data structures for business using various Analysis Services Cubes, BI Dashboard, and Scorecards. Recent experiences include developing multiplayer AI Platform with Generative AI using AWS Bedrock for back-office CareManagement application including HealthCare. Implementations included Anthropic Claude model & Twilio Integration for Client Onboarding, Authentication, and Call Flow Management. Cloud Services Database include Snowflake Data Cloud, Azure Cloud, Go/Language (JSON and yaml) with Anaconda python programming. Migrated Data Lakes from on-prem up to SnowFlake using SnowPipe and SnowSQL using command line scripts using AI methods. Implemented standards and data designs for HIPAA, SOX, regulatory, compliance, financial, reporting, and auditing. Next generation AI development with Anthropic Claude Code, ChatGPT, Gemini, etc.

With 25 years of extensive experience spanning both the public and private sectors, I offer a wealth of expertise across diverse platforms and technologies. My professional journey commenced with web database development, and over the years, I seamlessly transitioned into roles encompassing data warehousing, reporting, data management, and automation – essentially delving into the entirety of the data landscape. My forte lies in the Microsoft SQL Server BI Stack, where I specialize in tailoring architectures that align with client business objectives and financial considerations. Leveraging tools such as Microsoft Azure SQL, FiveTran, SQL Server, SSIS, SSAS, SSRS, Power BI, Power BI Paginated, NetSuite, Salesforce, Azure Data Factory, ZappySys, and more, I am committed to crafting solutions that empower clients to navigate their data ecosystems autonomously. If your systems incorporate APIs and you desire insightful reporting, I can seamlessly integrate API data into Azure SQL, paving the way for the creation of visually stunning Power BI reports. Additionally, I offer expertise in advanced UI/UX design strategies and information architecture for customer-facing reports. Whether you seek guidance on effectively communicating data stories or ensuring a professional and visually appealing presentation, I am here to assist. My enthusiasm thrives on resolving highly intricate data-related challenges, aligning my skills with the unique needs of each project. I am genuinely passionate about ensuring data readiness and optimizing data functionality for my clients. Let's initiate a conversation about your project, and together, we can determine if my skills align with your requirements!