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@anirbansanyal
Detail-oriented Data Engineer specializing in GCP, BigQuery, and scalable ETL pipelines.
I am a detail-oriented Data Engineer with over 6 years of hands-on experience designing, building, and maintaining robust ETL/ELT data pipelines. I specialize in Google Cloud Platform technologies, BigQuery, and relational databases to deliver reliable data solutions.
I have driven production support and CI/CD efforts using GitHub/GitLab and Cloud Build, resolving priority incidents through advanced SQL and BigQuery analysis. I have built both streaming and batch pipelines using Pub/Sub, Cloud Composer, Compute Engine, Cloud Storage, and Python to enable real-time processing and accurate analytics.
Earlier in my career I worked on data migration projects as a SQL Developer, leveraging Oracle and ODI to ensure efficient transfers and data integrity. I focus on improving data quality, accessibility, and architecture efficiency to enable better data-driven decision-making.
I hold Google Professional Data Engineer and Associate Cloud Engineer certifications and am open to relocation in Europe with visa sponsorship, seeking roles where I can contribute to scalable data platforms and mentor peers while continuing to grow my cloud-native engineering expertise.
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Work history, roles, and key accomplishments
Deloitte USI
Mar 2025 - Present (8 months)
Stabilized a new data framework by diagnosing and resolving client-reported SQL issues and maintaining ETL workflows using GitLab. Improved system reliability for production data pipelines.
Managed cloud data operations using BigQuery, Cloud Storage and Workflows, maintained CI/CD with GitHub and Cloud Build, and resolved priority incidents via advanced SQL and BigQuery analysis. Supported deployments to non-production and QA environments.
Built streaming and batch data pipelines using Pub/Sub, Cloud Composer, BigQuery and Compute Engine to enable real-time processing and reliable data ingestion, and optimized data flow and integrity for analytics.
Executed data migration tasks using Oracle and ODI, developing and validating SQL procedures to ensure accurate and efficient data transfers for large-scale migration projects.
Degrees, certifications, and relevant coursework
Bachelor of Technology, Computer Science Engineering
2014 - 2018
Grade: 8.18 DGPA
Bachelor of Technology in Computer Science Engineering completed with 8.18 DGPA between July 2014 and July 2018.
Software and tools used professionally
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