Redshift, Glue, Athena, Lake Formation, IAM • Data Engineering/ETL: • Building and optimizing ETL pipelines • Data ingestion, transformation & orchestration using AWS Glue (PySpark/Python) • Working with structured/semi-structured telecom datasets (CDRs, network logs, subscriber data) • Data Lake Technologies: • Expertise in Apache Iceberg table format • Schema evolution, partitioning … compaction & metadata management • Query performance tuning with Athena & Redshift Spectrum • Redshift Expertise: • Data modeling, distribution styles, sort keys • Workload management (WLM) • Performance optimization & troubleshooting • Python: • Automation scripts • Data processing workflows • Monitoring, debugging, validation scripts • AWS Support/Operations: • Troubleshooting ETL failures, performance bottlenecks, pipeline issues • Monitoring cloud workloads (CloudWatch, CloudTrail ...