Dec 2025 – Jan 2026 · 1 mo · Bilaspur, Chhattisgarh

• Career break for health and well-being following a night-shift role.

May 2025 – Nov 2025 · 6 mos · Hyderabad, Telangana, India · On-site

• Automated 5+ recurring BigQuery ingestion workflows using Apache Airflow (DAGs), reducing manual effort by 70% and improving pipeline reliability.
• Built and deployed a data validation framework in BigQuery ensuring 100% consistency between hierarchy files and data.
• Developed CI/CD pipelines with Cloud Build, cutting deployment errors by 95% and accelerating delivery by 40%.
• Automated ETL workflows using BigQuery SQL and Cloud Scheduler, saving 15 hours/week and improving data availability by 30%.
• Enhanced Transfer Station processes with dynamic table naming, eliminating monthly updates and improving dashboard continuity.
• Created dedicated TransferMap pipelines for CernerLabAM sources, improving data traceability and schema consistency.
• Automated integration for Maturity Index and Service Quality datasets, reducing reporting delays by 40%.
• Implemented deduplication logic for financial datasets, ensuring accurate historical tracking.
• Diagnosed and resolved dashboard data issues, improving accuracy by 30%.
• Migrated CleaningTAT data source from DH to TeleTracking with full schema validation.
• Enhanced TransferMap schemas with new ‘Source’ columns, boosting metadata visibility and debugging speed.
• Optimized CleaningTatTeleTracking SQL logic to dynamically process recent data, reducing maintenance by 50%.
• Replicated 45+ dashboards from Qlik to Looker, optimizing backend data models and visualizations through BigQuery.
• Created multiple stored procedures and views in BigQuery for streamlined transformations and validation.
• Improved dataset reliability and performance through end-to-end validation automation.
• Collaborated with cross-functional teams to align Transfer Station enhancements with enterprise data governance goals.

Jul 2024 – May 2025 · 10 mos · Hyderabad, Telangana, India · Hybrid

• Spearheaded the development of the RAISE solution to enhance Gen AI use cases, focusing on trust acceleration, cost reduction, and scalability enhancement.
• Achieved key milestones, including 80% cost inefficiency reduction, 60% scalability improvement, and a 40% increase in AI trustworthiness.
• Played a pivotal role in strengthening AI-driven solutions for diverse applications, optimizing performance, and ensuring reliability.
• Built AI-powered chatbot solutions using Dialogflow CX and Vertex AI, including a solution for Saudi Bank SAMA that improved customer satisfaction by 25% and handled 5,000+ daily queries.
• Designed real-time Looker Studio dashboards integrated with BigQuery, reducing reporting turnaround time by 30% and providing actionable insights to business teams in under 5 minutes.
• Optimized cloud storage with Object Versioning, reducing accidental deletions by 40% and enabling critical file recovery within minutes.
• Developed CI/CD pipelines using Cloud Build, reducing deployment errors by 95% and improving delivery timelines by 40%.
• Containerized 8+ microservices using Docker and deployed them to Cloud Run, achieving 99.9% uptime and improving scalability for high-traffic applications.
• Implemented load balancing for microservices, improving response time by 30% during peak loads.
• Automated cost management with BigQuery SQL scripts and Cloud Scheduler, reducing manual effort by 15 hours/week and optimizing database performance.
• Developed intuitive front-end portals using HTML, CSS, and Python, improving user engagement by 20%.
• Developed multiple proof-of-concepts (POCs), scaling 5+ into full-scale projects, reducing implementation timelines by 20%.

Mar 2022 – Sep 2024 · 2 yrs 6 mos · Hyderabad, Telangana, India · Hybrid

• Developed and automated an ETL pipeline using BigQuery SQL, DataFlow, composer and Google Cloud Scheduler, reducing manual efforts by 15 hours/week and improving data availability by 30%.
• Implemented Object Versioning in Cloud Storage, reducing accidental data loss by 40% and ensuring compliance with data protection policies.
• Configured VM instances and service accounts with role-based access control, enhancing resource security and improving team efficiency.
• Managed and optimized data retrieval processes in Cloud Storage, reducing data retrieval time by 20%.