Based on my extensive background in data engineering and software development, I am best positioned to offer End-to-End Data Engineering and Analytics Solutions. I offer businesses the ability to transform raw, fragmented data into structured, actionable insights using modern cloud architectures.

Specifically, my service would likely include:

1. Custom ETL/ELT Pipeline Development: Designing and implementing automated data pipelines using Python, PySpark, and SSIS to extract data from various sources (APIs, Shopify, Google Analytics, Adobe Analytics, Clickstream) and load it into cloud warehouses like Snowflake, Lakehouse or Azure SQL.
2. Cloud Data Warehousing & Architecture: Building scalable data environments using the Medallion Architecture (Bronze, Silver, Gold layers) within Microsoft Fabric and Azure Databricks to ensure high data quality and reliability.
3. Data Integration & Automation: Orchestrating complex data flows and automating repetitive tasks using tools like Prefect and DBT, which helps reduce manual processing time and operational costs.
4. Full-Stack Web & Backend Support: Leveraging your earlier experience as a software developer to provide technical support for database-driven websites, including SQL performance tuning and backend development in Node JS or PHP.
5. Analytical Reporting & Semantic Layers: Creating semantic layers that translate technical data into business-friendly terms for stakeholders, often integrated with Power BI for advanced reporting.