Data Engineer & BI Specialist with deep roots in the Microsoft SQL ecosystem. I believe great data engineering is invisible: pipelines just run, reports just load, and decisions get better. I love turning messy data into clean insights, optimizing queries that others gave up on, and designing data models that scale. I'm equally comfortable writing complex T-SQL as I am building modern pipelines with cloud tools and automation.
🛠️ TECHNICAL STACK
• Databases & Warehousing: MS SQL Server, T-SQL, Data Warehousing, Dimensional Modeling, Star/Snowflake Schemas
• BI & Reporting: SSRS (Production Experience), SSAS (Cubes/Tabular), Power BI, Report Automation
• ETL & Orchestration: SSIS, Azure Data Factory, Apache Airflow, dbt (transformations)
• Cloud & Platforms: Azure (Synapse), Snowflake, Databricks, Iceberg Tables
• DevOps & Tools: Docker, GitLab CI/CD, GitHub Actions, Jira, Bitbucket/Stash
• Languages: SQL (Native), Python (Growing)
💼 PROFESSIONAL HIGHLIGHTS
• 4+ years in corporate banking: Building reliable, auditable data solutions where accuracy is non-negotiable.
• Fare Collection & Financial Systems: Handling high-volume transactional data, BI consulting, and process automation.
• Full SDLC Participation: From requirements gathering to deployment — I speak both "dev" and "business".
• Complex Solutions: Reverse engineering, documentation, and performance optimization in large DWH environments.
• Mentoring: Sharing SQL best practices and BI patterns with junior team members.
🤝 CONNECT
I value consistency, clear communication, and a "learn by doing" mindset. Feel free to connect if you want to discuss data architecture, optimization war stories, or the evolving data landscape.More...