Hemalata M

• Collaborated with QA/DevOps to implement CI/CD workflows, achieving zero-downtime ETL releases.
  Built ingestion pipelines processing 500GB+/day from Teradata, RDBMS, and Mainframe, ensuring reliability and scalability.
• Optimized PySpark jobs and Glue scripts, reducing ETL runtime by 40% and query latency by 35%.
• Automated pipeline recovery using Lambda + CloudWatch, reducing SLA breaches by 60%.
• Designed Snowflake data models and governance layers, enabling multi-user analytics and compliance.
• Delivered real-time analytics integrations powering operational dashboards with .
• Refactored legacy ETL into metadata-driven pipelines, cutting deployment cycles by 30%.
• Created lineage documentation and reconciliation layers, leading to a 30% drop in downstream quality issues.

Battery Plus (GCP):

• Built real-time pipelines with Apache Beam + Dataflow, ingesting 50M+ records/month.
• Enforced validation rules, improving anomaly detection by 30%.
• Designed schema evolution logic in BigQuery, reducing ingestion failures by 40%.
• Integrated DLQs via Pub/Sub and Cloud Monitoring, enabling near real-time recovery.
• Containerized Beam jobs using Docker, reducing deployment time and improving reproducibility.

Carters (AWS):

• Optimized Glue + EMR jobs, cutting pipeline runtime by 50%.
• Built incremental ETL loads with partition pruning, reducing daily execution by 45%.
• Automated orchestration via Lambda + S3 triggers, improving pipeline reliability.
• Implemented Lake Formation permissions, enabling secure column-level access for analytics users.

• Migrated multi-format legacy data from Mainframe to AWS using PySpark.
• Collaborated with architects on transformation mapping and delivery pipelines.

• Developed ETL workflows for structured/unstructured data ingestion.
• Supported proof-of-concept projects on AWS data pipelines.

• Built PySpark-based pipelines for structured/semi-structured data.
• Partnered with clients on cloud migration initiatives.

• Designed ETL pipelines integrating enterprise data sources.
• Delivered BI-ready datasets reducing reporting turnaround times by 25%.
• Mentored 3 junior engineers, improving team ramp-up efficiency by 30%