Anupreet K.

DATA ENGINEER | BI EXPERT Are you looking to transform fragmented enterprise data into reliable, production-grade analytics pipelines? I am a Data Engineer with 8+ years of experience specializing in end-to-end ETL/ELT engineering, DWH and scalable Business Intelligence (BI) systems. I bridge the gap between complex data architecture and business strategy, ensuring your stakeholders always have access to high-integrity, analytics-ready datasets. CORE EXPERTISE: 🔹 Data Pipelines & Orchestration: Designing and deploying resilient, scalable ETL/ELT pipelines using Python, dbt and Airflow to any Datawarehouse (cloud/on prem). Experience with migrating legacy workflows (SSIS, Pentaho Kettle) into modern cloud infrastructures. 🔹 Lakehouse Architecture: Implementing high-performance Delta Lake Medallion structures (Bronze, Silver, Gold) and dimensional modeling (Star and Snowflake schemas) with minimal redundancy. 🔹 App & API Integrations: Ingesting and unifying data from disparate sources including Salesforce (deep data architecture expertise), HubSpot, Zendesk, Xero, Google Analytics, and AWS S3. 🔹 Modern Engineering Practices: Enforcing robust CI/CD version control via Git, automated data validation, and AI-assisted workflows to maximize pipeline uptime and accelerate script prototyping. 🔹 BI & Dashboarding: Creating actionable, executive-ready reports and dashboards to drive data-backed business decisions. 🔹 BI Platforms: Power BI, Metabase, and Yellowfin BI. Whether you need a legacy system migration, a brand-new cloud data warehouse architecture, or optimized BI reporting, I deliver secure, secure-by-design, and production-grade solutions.