Vishva K

About Vishva K

Results‑driven Data Engineer with 2.8+ years building data models, ELT/ETL pipelines, and quality controls across Snowflake and AWS. I design reliable, well‑documented datasets and automate ingestion and transformations so teams can trust the numbers and move faster.I work primarily with Snowflake + AWS and dbt + SQL/Python. I design ER models in ER/Studio, reverse‑engineer schemas, standardize column definitions, and implement ELT patterns with automated testing, reconciliation, and root cause analysis (RCA). My focus: correctness, security (incl. data masking), and maintainability.At PwC I support client data platforms on Snowflake/AWS—modeling, dbt transformations, Iceberg tables, and data‑quality gates. Previously at TCS (Jan 2023–Sep 2024), I delivered end‑to‑end pipelines and drove SIT/UT at enterprise scale.Designed ER models in ER/Studio; built dbt SQL transformations and Snowflake integrations with S3. Led SIT and unit testing with AWS Glue; automated row‑count/column‑level validation with results persisted to S3; performed RCA and closed defects via Jira.Built automated ingestion using S3 → SNS → SQS → Snowpipe into Snowflake; created external stages; developed dbt transformations for cleansing/normalization; implemented data masking for sensitive fields in fraud analytics.I care about measurable data quality—lineage‑aware development in dbt, standards and CI‑friendly tests, and reconciling source‑to‑target (row counts, column checks, mismatches, nulls/dupes) before data hits analytics.Core stack: Snowflake, dbt, SQL, Python, AWS (S3, Glue, Athena, SQS, SNS, Snowpipe), ER/Studio, Git, Jira • Data modeling, ELT/ETL, SIT/UT, RCA, validation, cleansing, masking• Foundations in DSA (170+ LeetCode).

Experience

1. Associate Consultant

   KPMG

   Jan 2026 — Present · Bengaluru, IN

Education

• Nallamuthu gounder mahalaingam college of arts and science

  Bachelor's of computer application , Computer Programming

  2019 — 2022