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Data Engineer with 6+ years in Snowflake, DBT & AWS S3
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Snowflake Developer and PL/SQL Specialist with 5+ years of experience in designing scalable Snowflake environments, developing DBT-based SQL transformations, and building automated ingestion using Snowpipes and AWS S3. Skilled in Sequences, Zero-Copy Cloning, Time Travel, Fail-Safe, and Secure Data Sharing for efficient data management. Strong expertise in Oracle SQL, Advanced PL/SQL, Procedures, Functions, Packages, Triggers, and Exception Handling. Experienced in implementing Streams for audit tracking, optimizing performance using AWR reports, and writing complex, high-performance SQL queries. Proven ability in data validation, query tuning, and ensuring high data integrity across modern cloud data pipelines.
Kongunadu College of Engineering and Technology
Bachelor of Engineering · Electrical and Electronics Engineering
August 1, 2013 – June 30, 2017
Cognizant Technology Solutions
Data Engineer
November 1, 2022 – Present
India
Mabel Infotech
Data Engineer
October 1, 2019 – November 1, 2022
India
Cultural Fit Analysis
The candidate's experience across two companies as a Data Engineer, with consistent responsibilities in Snowflake, dbt, and AWS, indicates a focused career path aligned with the target role. The breadth of skills (Snowflake, dbt, AWS, SQL, PL/SQL, Unix, Python) suggests adaptability and a willingness to learn diverse technologies relevant to data engineering.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with analytics, engineering, and business teams to deliver SLA-driven data pipelines, suggesting good teamwork and operational awareness. The focus on documentation, data lineage, and governance indicates attention to detail and best practices.