Venkata Sai Tejaswi Sammeta
Data Scientist
Python
SQL
Active 14 days ago
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Overview
Technical skills
Timeline
Roles
Overview
Senior Data Engineer with 9+ years of experience building and operating production data platforms across ETL, data lakes, and lakehouse environments. Works extensively with Azure and analytics warehouses/lakehouses, creating scalable pipelines, data quality frameworks, observability tooling, and governance patterns. Experienced in delivering analytics outputs through SQL modeling and Power BI with security controls.
Technical skills
Python
SQL• Junior
Python
pySpark
Databases
Azure SQL Database
Databricks
Delta Lake
MS SQL
Oracle
Snowflake
AI/ML
Prompt Engineering
Spark
DevOps
AWS
Azure DevOps
Azure
Cybersecurity
HashiCorp Vault
HIPAA
Analytics
Power BI
Cryptography
Vault
Timeline
Senior Data Engineer
•
Senior
Ford
•
Full-Time
Designed ADF ingestion pipelines into Snowflake with incremental loading to improve refresh performance. Built star schemas and complex SQL transformations for risk analytics, including SCD Type 2 for historical analysis. Integrated Power BI with semantic models to deliver KPI dashboards with fine-grained row-level security. Implemented data validation, reliable orchestration with retries/alerts, and performance tuning for Snowflake aggregations.
Azure
Snowflake
Power BI
SQL
Data Engineer
•
Middle
IBM
•
Full-Time
Created Informatica ETL mappings to ingest healthcare member, claim, and provider data into Azure Data Lake for downstream platform features. Built ADF pipelines to orchestrate batch ingestion from Oracle and MS SQL Server into Azure staging stores and integrated Informatica workflows for end-to-end processing. Designed Azure SQL database structures and T-SQL queries for operational healthcare metrics, including SCD Type 2 mappings for historical member demographics. Implemented validation and logging for reconciliation and audit readiness, and delivered executive reporting via Power BI dashboards.
Azure
Azure SQL Database
SQL
Power BI
Senior Data Engineer
•
Senior
IBM India
•
Full-Time
Developed SSIS and Azure Data Factory pipelines to ingest order, pricing, and product datasets from on-prem SQL Server into Azure SQL Database. Built parameterized and metadata-driven workflows to simplify onboarding new source feeds and coordinated hybrid on-prem to cloud execution. Implemented incremental loading and lakehouse data quality checks across bronze/silver/gold layers to improve refresh times and accuracy. Automated Power BI report refreshes and integrated Python scripts for semi-structured file processing.
Azure
Azure SQL Database
Power BI
Python
SQL
Databricks Developer
•
Middle
Humana
•
Full-Time
Built Azure-based Databricks PySpark ETL pipelines to route and process claim encounter data across multiple states. Migrated logic into Delta tables to reduce pipeline runtime significantly and engineered reprocessing to improve data quality for rejected items. Implemented end-to-end observability and logging with automated failure detection and incident creation. Enforced HIPAA/security controls using PII masking and HashiCorp Vault, and strengthened deployment practices via Azure DevOps.
Databricks
pySpark
Delta Lake
Azure
Azure SQL Database
HashiCorp Vault
Azure DevOps