Sr Data Engineer | Data Vault 2.0 Expert | AWS & Snowflake Specialist | Optimizing Data Pipelines & Cloud Costs | Python | ELT/ETL Framework

Greater Bengaluru Area

On-site

Kolkata, West Bengal, India




Bachelor of Technology - BTech, Computer Science
institute of engineering and management
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Download Tal BossSr Data Engineer | Data Vault 2.0 Expert | AWS & Snowflake Specialist | Optimizing Data Pipelines & Cloud Costs | Python | ELT/ETL Framework
As a Senior Data Engineer with proven expertise in data warehouse design, ETL/ELT pipeline automation, and cloud migration, I thrive on transforming complex data challenges into scalable, efficient solutions. My experience spans Fortune 500 companies and high-growth environments, where I’ve delivered Python-based ELT frameworks, migrated critical workloads to AWS serverless, and cut operational costs by up to 85%. I specialize in Data Vault 2.0 modeling, Snowflake architecture, and building robust data quality frameworks.I am passionate about leveraging emerging cloud technologies to drive business value, data integrity, and cost efficiency. If you’re seeking a data engineering leader who turns data into a strategic asset, let’s connect!
Bengaluru
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github copilot
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Sr Data Engineer at Illumina, Jan 2025 - Present · 1 yr 9 mos, Greater Bengaluru Area
Data Engineer at EY, Jul 2022 - Jan 2025 · 2 y 6 mo, On-site
Data Engineer at Tata Consultancy Services, Aug 2020 - Aug 2022 · 2 yrs 1 mo, Kolkata, West Bengal, India, Contributed to creating a Python-based, cloud-agnostic ELT framework for Snowflake, integrating data from 12 source systems (S3, SQL Server, Profisee) into modeled Data Vault tables. Reduced data ingestion time by 40% through Connection Pool implementation, minimizing parallel database connections. Integrated features like checkpoints, restart-ability, data quality checks, and automated notifications to improve data integrity between RDV (Raw Data Vault) and Staging Area in ELT processes. Migrated on-premises ELT batch Python framework to AWS serverless stack (AWS Batch, S3, CloudWatch, Fargate), reducing operational costs by 85%. Utilized AWS CloudFormation templates for serverless migration (Infrastructure as Code), ensuring efficient monitoring, versioning, and streamlined deployments. Tech Stack: Snowflake, SQL, Data Vault 2.0, Azure DevOps, YAML, Git, Python, Pandas, AWS (S3, Docker, CloudWatch, Secret Manager), Control-M
Bachelor of Technology - BTech, Computer Science, institute of engineering and management