Rajesh Gottipati
@rajeshgottipati
I’m a GCP Data Engineer building scalable data pipelines, ETL automation, and cloud-based analytics on Google Cloud.
What I'm looking for
I’m a GCP Data Engineer with 6.5+ years of experience in data engineering and ETL development, focused on building scalable data pipelines, cloud-based analytics solutions, and automation on Google Cloud Platform. I specialize in BigQuery and GCP services like Cloud Composer and Dataflow, with strong expertise in SQL, PL/SQL, and data migration.
In my recent work, I developed and optimized PL/SQL queries for financial and regulatory reporting, implemented PLX workflows, and automated reporting using TenX tools. I’ve also built GCP pipeline architectures end-to-end—developing Airflow DAGs with PySpark (basic), ingesting Kafka into BigQuery, supporting Teradata-to-GCP migrations with Qlik Replicate, and resolving production ETL issues while supporting Tableau reporting and backend processing.
Experience
Work history, roles, and key accomplishments
Developed and optimized PL/SQL queries for financial and regulatory reporting, and implemented automated workflows to streamline report generation. Built dashboards using Google Apps Script, HTML, and CSS and supported automated insights using Finance AI/Gemini tools.
Worked on Teradata to GCP migration using Qlik Replicate, ensuring data consistency. Optimized BigQuery performance to support reliable analytics after migration.
Built scalable GCP data pipelines, developing Airflow DAGs using PySpark (basic). Ingested Kafka data into BigQuery to support downstream analytics.
Senior Software Engineer
Nedbank
Sep 2021 - Mar 2022 (6 months)
Developed Ab Initio data pipelines supporting large-scale data ingestion and transformations. Helped maintain delivery of enterprise ETL workloads from ingestion through transformation.
Ab Initio Developer
Discover
Apr 2021 - Sep 2021 (5 months)
Fixed production issues and optimized ETL jobs to improve stability and execution efficiency. Supported Tableau reporting by handling backend processing needs.
Built real-time data pipelines using Kafka and PySpark to support timely processing. Developed reconciliation and audit frameworks for data quality and traceability.
Education
Degrees, certifications, and relevant coursework
Stratford University
Master's in Information Systems, Information Systems
2017 -
Master’s in Information Systems at Stratford University starting in Oct 2017.
Availability
Location
Authorized to work in
Job categories
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