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Data Engineer with 3+ years in Snowflake & Azure Databricks
As a developer, I provide programming & logical transformation solutions for database and data warehouse systems and managing systems using various different tools and software. 4 years of hands-on experience in database design, implementation, and maintenance. Skilled in Data Warehouse development, Data Migration, Data Modeling, Business Requirement Analysis, and end-to-end solution implementation. Provided robust ETL solutions and successfully migrated databases from multiple traditional systems into Snowflake. Currently engaged in Data Warehouse development and optimization. Strong knowledge of Snowflake features and utilities including Streams & Tasks, Snowpipe, Stored Procedures, Time‑Travel, zero‑Copy Cloning, and SCD implementations. Perform daily data analysis, data validation, and business report analysis. Skilled at identifying root causes, resolving issues, and ensuring data quality and reliability for business stakeholders. Experienced working on architectural requirement such as data masking, row level security, data tagging.
PES COLLEGE OF ENGINEERING
MCA · Computer Applications
August 1, 2018 – June 30, 2021
CAPGEMINI
Cloud Data Engineer
October 1, 2022 – Present
India
SnowPro Core
Snowflake
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Capgemini on a large-scale project for Kroger demonstrates adaptability to complex enterprise environments and client-facing work. The mention of working with healthcare standards (FHIR/OMOP) indicates an ability to learn and apply domain-specific knowledge. The breadth of skills across Snowflake, Azure, and AWS suggests a willingness to work with diverse technologies, which is beneficial for cultural fit in dynamic teams.
Soft Skills & Operational Fit
The candidate's resume indicates experience in troubleshooting, root-cause analysis, knowledge transfer, and assisting QA, suggesting good problem-solving, collaboration, and communication skills within a technical team. The ability to manage NFRs and monitor daily runs points to a detail-oriented and responsible operational fit.