Mallika Patelguda
Data Scientist
8+ years exp
4+ years ML exp
SQL
Python
Active 6 days ago
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Overview
Technical skills
Timeline
Roles
Overview
Senior Data Engineer with 8+ years delivering cloud data pipelines and Snowflake/Databricks platform modernization in regulated environments. Experienced in governed ingestion and data access controls plus high-volume ELT orchestration using Apache Airflow. Contributed to large-scale migrations and production reliability improvements across financial and healthcare datasets.
Technical skills
SQL• Senior • 8y+
Python• Middle • 4y+
Python
pySpark• 4y+
Databases
Delta Lake
MS SQL
MySQL
PostgreSQL
Databricks• 4y+
Oracle• 4y+
Snowflake• 4y+
AI/ML
Computer Vision
Spark
Airflow• 4y+
dbt• 4y+
Claude
Copilot
Embeddings
RAG
DevOps
AWS Lambda
Azure
Azure DevOps
CI/CD
Git
GitHub Actions
Rest API
SLI/SLO/SLA
AWS• 4y+
Cybersecurity
HIPAA
Analytics
Power BI
Tableau
Timeline
Senior Data Engineer
•
Senior
New York Jets
•
Full-Time
Owned end-to-end delivery of concurrent data engineering builds for football and business analytics. Built governed Snowflake ingestion and incremental processing pipelines with external stages, Snowpipe, Streams, Tasks, automated validation, and idempotent MERGE logic. Optimized Snowflake performance and cost using query profiling, warehouse tuning, clustering, and micro-partition pruning. Implemented regulated data governance (RBAC, masking, row access) and delivered near-real-time operational scoring and Databricks pipeline migrations.
Snowflake
Databricks
Airflow
Python
pySpark
SQL
Claude
Copilot
Embeddings
RAG
Senior Data Engineer
•
Senior
USAA
•
Full-Time
Managed Snowflake data pipelines across DEV, QA, and PROD for regulated financial datasets. Reduced dashboard response times by tuning query execution plans, right-sizing virtual warehouses, and applying concurrency and auto-suspend controls. Implemented data access governance using RBAC and column-level masking aligned to audit requirements. Orchestrated ELT workflows with Apache Airflow DAGs and incremental loading using Snowflake features, while integrating Databricks for enrichment and preprocessing.
Snowflake
Databricks
Airflow
Python
SQL
Data Engineer
•
Middle
McKesson
•
Full-Time
Led a 10TB migration of claims and transactional datasets from Oracle and SQL Server to Snowflake on AWS, connecting the analytics platform to an enterprise data lake. Designed batch and near-real-time ingestion using Snowpipe, Streams, Tasks, and materialized views, with PHI handling and traceable data lineage. Built and tuned Oracle SQL and PL/SQL for extraction and reconciliation, and developed ingestion automation using Python. Created Databricks PySpark transformations and dbt incremental models, and ran production ELT/ETL pipelines with Apache Airflow.
AWS
Snowflakesince 2022
Oracle
Databrickssince 2022
Airflowsince 2022
dbt
Pythonsince 2022
pySparksince 2022
SQL
Data Engineer
•
Middle
Morgan Stanley
•
Full-Time
Processed multi-terabyte trade and position datasets supporting regulatory and risk reporting. Built incremental SQL load patterns for daily transaction updates to reduce reliance on full-table reloads. Developed dimensional and star-schema models to improve reporting usability and performance. Implemented complex SQL transformations using joins, CTEs, aggregations, and window functions while monitoring batch jobs against SLA timelines.
SQLsince 2018
Osmania University (OU)
Bachelor's Degree •
Computer Science