About
Computer Applications graduate student with experience in full-stack software development and data engineering. Works on cloud data pipelines, ETL/ELT workflows, validation, debugging, and delivery of analytics-ready datasets.
Experience
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Full Stack Software DeveloperTata Consultancy Services · Bhubaneswar, IndiaJan 2026 – Present
Contributed to OSS, Copyright, Admin, and Version Management modules through feature enhancements, frontend/backend validations, debugging, and defect resolution involving business rules and application workflows. Analyzed issues, identified root causes, implemented and validated fixes across development and test environments, collaborating with developers and module owners for requirement clarification, code-flow analysis, defect investigation, and solution implementation using Git/GitLab.
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Data Engineering TraineeRevature · Chennai, IndiaOct 2025 – Dec 2025
Designed and built end-to-end ELT pipelines on Snowflake using Python, SQL, PySpark, Snowpipe, Snowpark, and dbt, implementing SCD Type-2 modeling and incremental processing with Streams & Tasks for scalable data workflows. Engineered cloud-based data solutions integrating AWS S3 and Snowflake, optimizing data ingestion, transformation, and orchestration with validation, monitoring, and performance tuning to ensure reliable, analytics-ready datasets.
Education
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Master of Computer ApplicationsComputer Applications · 2023 – 2025
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Bachelor of Computer ApplicationsBirla Institute of TechnologyComputer Applications · 2020 – 2023
Skills
Tools / apps / platforms
Projects
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Python, Google BigQuery, Streamlit, MySQL, REST APIs, Git
Developed a scalable data pipeline integrating CMS and Synthea healthcare datasets, performing data cleaning, transformation, and aggregation using Python for analytics-ready processing. Designed data warehouse schemas and analytical data marts in Google BigQuery and built Streamlit dashboards, implementing data validation, workflow automation, and version control via Git for reliable data delivery.
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Retail Sales AnalyticsSnowflake, Snowpipe, Snowpark, PySpark, dbt, AWS S3, SQL
Designed and deployed an end-to-end cloud-native ELT pipeline on Snowflake using Bronze–Silver–Gold architecture, integrating AWS S3 for automated ingestion via Snowpipe with optimized Parquet storage and scalable data warehousing. Built and orchestrated scalable data pipelines using PySpark, Snowpark, and dbt with SCD Type-2 modeling and incremental processing via Streams & Tasks, ensuring reliability through data validation, dbt testing, and fault-tolerant error handling.