Strong SQL,DWH,ETL Concepts,Python

- Experience: 10+ years in enterprise-scale Data Warehouse Development and Data Engineering.

- Design, develop, and maintain dimensional warehouses, fact/dimension tables, SCDs, aggregates, data marts, and reporting layers.

- Demonstrate advanced SQL expertise: joins, CTEs, window functions, procedures, indexing, execution plans, optimization, and performance tuning.

- Apply ETL/ELT, CDC, incremental loads, partitioning, lineage, reconciliation, data quality, restartability, and error-handling principles.

- Build automated, parameterized, monitored, and reusable workflows with scheduling, dependencies, alerts, and production controls.

- Develop modular Python using Pandas/NumPy for processing, validation, automation, and operational utilities.





- Use Linux/Unix and shell scripting for file handling, execution, scheduling, monitoring, log analysis, and troubleshooting.

- Resolve production issues through data validation, diagnostics, and permanent root-cause fixes.

- Translate ambiguity into practical designs and communicate risks, dependencies, and timelines clearly.

- Demonstrate solid database fundamentals, coding discipline, ownership, curiosity, and quality-first judgment.

- Thrive in Agile/DevOps delivery with reviews, testing, version control, documentation, releases, and a Forward Deployed Engineer mindset.

📌 Data warehouse Data Engineer (Telangana)
🏢 Momento Cybertech Solutions
📍 Telangana