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Data Engineer with 5+ years in Snowflake, AWS S3 & Data Warehousing
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Assessing your cultural and operational fit
Results-driven Snowflake Developer and Data Engineer with around 5 years of experience in cloud-based data warehousing, advanced ETL/ELT pipeline design, and scalable data solutions. Proven expertise in architecting robust ingestion frameworks from streaming and cloud platforms into unified enterprise repositories. Deep technical mastery of core Snowflake internals, including micro-partitioning, data clustering strategies, and zero-copy cloning to drive performance and storage efficiency. Adept at streamlining transformations using dbt, coordinating multi-source integrations, and executing query tuning to lower compute costs. Demonstrated capability working in high-volume, production-grade Agile environments to deliver reliable business intelligence datasets.
Andhra University
Bachelor of Science (B.Sc.) · Computer Science
N/A – June 30, 2020
Amazon Web Development Services
Data Engineer / Snowflake Developer
February 1, 2022 – Present
India
NS Global Tech
Data Engineer Intern
June 1, 2021 – January 1, 2022
India
Cultural Fit Analysis
The candidate's experience with diverse data sources (legacy retail, AWS S3, Kafka, Google BigQuery) and tools (Informatica, dbt, SnapLogic, Control-M) demonstrates adaptability and a broad technical curiosity. Their focus on performance optimization, data governance, and reliability aligns well with a culture that values robust, scalable, and secure data solutions. The experience at Amazon Web Development Services suggests exposure to a fast-paced, high-standard environment.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with data governance and cloud security teams, problem-solving critical production failures, and working in Agile environments, indicating a good operational fit and ability to work within a team and under pressure. The detailed descriptions of responsibilities suggest strong communication in a professional context.