Experienced Data Engineer and Architect delivering scalable data solutions with Azure, Databricks,Python, Snowflake, and LLMs to drive business insights and efficiency.
I am a Data Engineer and Data Architect with over 20 years of experience designing and implementing data solutions for global organizations, including Microsoft and Resideo. My career has focused on creating efficient ETL pipelines, Data Lakes, and Data Warehouses using tools such as Azure Synapse, Databricks, Snowflake, Python, and Spark, often applying Medallion and Star Schema methodologies. I have also developed specialized data pipelines for Large Language Models (LLMs), enabling AI-driven applications for clients in various industries.
At Microsoft, as a Principal Engineer and Cloud Architect, I led a team of 10 to design and maintain over 1,000 production ETL pipelines for a major financial BI project, achieving SLAs above 95%. At Resideo, I architected a Data Lake and migrated legacy BI systems to a modern DWH environment using Snowflake and Azure Data Factory. Additionally, my work at Infomakina involved building AI platforms, including LLM integrations for digital insurance solutions, enhancing customer engagement through intelligent agents.
I value precision, collaboration, and continuous learning, which drive my commitment to delivering high-quality solutions. My certifications in Azure, Machine Learning (Stanford), and IBM Websphere DataStage reflect my dedication to staying at the forefront of technology. With a background in DevOps and IaC, I ensure seamless project delivery and scalability.
Outside of work, I enjoy exploring new technologies, such as AI and digital twins, and have a passion for developing video games using Unity 3D, having created titles like "Jonas Porker" and "SPPick." I also find balance through hobbies like reading about tech innovations and spending time with my family, which keep me grounded and inspired.
Work Terms
I am available for freelance and contract projects, typically working 20–40 hours per week, depending on project requirements. My hours are flexible, accommodating clients in various time zones, with a preference for scheduling meetings between 9 AM and 5 PM Central Time (CT). I am open to both short-term and long-term engagements.
For payment terms, I prefer hourly or milestone-based billing, with rates negotiated based on project scope and complexity. Payments should be processed via secure platforms (e.g., the freelance platform’s escrow system) within 7 days of invoice submission. I am open to discussing fixed-price contracts for well-defined projects.
I aim to respond to messages within 24 hours during weekdays. I value clear expectations and regular progress updates to ensure alignment with client goals.
Attachments (Click to Preview)
-
-