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Data Engineer with 8+ years working in Microsoft data environments like Azure SQL Database, SQL Server, Azure Data Factory, Synapse, and Azure Data Bricks. Designed and maintained data lakes and star-schema warehouses, including documentation and user guides, and supported analysts and engineers day-to-day. A major focus of recent work has been getting data environments ready for AI adoption, governance and security policies, data validation, and pipelines feeding AI workloads. Typically serves as the go-to stakeholder when something breaks, when data is not discoverable, or when systems need upgrades without disrupting reporting.…Data Engineer with 8+ years working in Microsoft data environments like Azure SQL Database, SQL Server, Azure Data Factory, Synapse, and Azure Data Bricks. Designed and maintained data lakes and star-schema warehouses, including documentation and user guides, and supported analysts and engineers day-to-day. A major focus of recent work has been getting data environments ready for AI adoption, governance and security policies, data validation, and pipelines feeding AI workloads. Typically serves as the go-to stakeholder when something breaks, when data is not discoverable, or when systems need upgrades without disrupting reporting.

Srishma konda

Data Engineer, Software Engineer, Data Scientist, +2

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Data Engineer with 8+ years working in Microsoft data environments like Azure SQL Database, SQL Server, Azure Data Factory, Synapse, and Azure Data Bricks. Designed and maintained data lakes and star-schema warehouses, including documentation and user guides, and supported analysts and engineers day-to-day. A major focus of recent work has been getting data environments ready for AI adoption, governance and security policies, data validation, and pipelines feeding AI workloads. Typically serves as the go-to stakeholder when something breaks, when data is not discoverable, or when systems need upgrades without disrupting reporting.…Data Engineer with 8+ years working in Microsoft data environments like Azure SQL Database, SQL Server, Azure Data Factory, Synapse, and Azure Data Bricks. Designed and maintained data lakes and star-schema warehouses, including documentation and user guides, and supported analysts and engineers day-to-day. A major focus of recent work has been getting data environments ready for AI adoption, governance and security policies, data validation, and pipelines feeding AI workloads. Typically serves as the go-to stakeholder when something breaks, when data is not discoverable, or when systems need upgrades without disrupting reporting.

Available to hire

Data Engineer with 8+ years working in Microsoft data environments like Azure SQL Database, SQL Server, Azure Data Factory, Synapse, and Azure Data Bricks. Designed and maintained data lakes and star-schema warehouses, including documentation and user guides, and supported analysts and engineers day-to-day.

A major focus of recent work has been getting data environments ready for AI adoption, governance and security policies, data validation, and pipelines feeding AI workloads. Typically serves as the go-to stakeholder when something breaks, when data is not discoverable, or when systems need upgrades without disrupting reporting.

Skills

Experience Level

Expert

Expert

Expert

Expert

Language

English

Advanced

Work Experience

Sr. Data Engineer at Anthem - Atlanta

October 1, 2025 - Present

Collaborated with clinical and analytics stakeholders to understand reporting and data analysis objectives, then designed ingestion pipelines and data structures to meet them. Designed and deployed a Delta Lake Medallion architecture on ADLS Gen2 using Azure Databricks for processing clinical claims, patient enrollment records, and providing network datasets. Refactored legacy SSIS packages that used staging tables and OLE DB commands into parallel PySpark ELT pipelines to accelerate daily patient record processing cycles. Configured Unity Catalog to enforce granular access controls, row-level security, and automated data masking to ensure HIPAA compliance. Engineered vector retrieval and document processing pipelines on Azure Databricks to clean unstructured clinical notes for downstream healthcare AI models. Optimized Delta Lake tables using Z-ordering and liquid clustering on high-cardinality join keys to reduce query execution times for actuarial analysts. Built gold-layer star-sch

Data Platform Engineer at JP Morgan Chase

January 1, 2024 - September 1, 2025

Managed SSIS DB project deployments and environment bindings for enterprise financial telemetry, trade execution monitoring, and banking transaction workflows. Modernized legacy SSIS ETL processes by converting control flow and data flow components into PySpark jobs orchestrated by Azure Data Factory and Azure Databricks notebooks. Built near real-time CDC pipelines using Microsoft Fabric Data Factory and PySpark to replicate high-volume core banking data from on-premises Oracle and SQL Server databases into ADLS Gen2. Implemented audit logging frameworks in PySpark pipelines to ensure compliance with SOX and FINRA regulatory record-keeping standards. Redesigned financial transaction data models from legacy normalized SQL Server tables into Delta Lake star schemas to support high-concurrency executive dashboards. Resolved SSIS buffer execution bottlenecks by optimizing package memory usage, thread distribution, and replacing asynchronous transformations with efficient batch updates. Au

Data Engineer at Prudential Financial

January 1, 2022 - December 1, 2023

Built Azure Data Factory pipelines to ingest life insurance policy holder records, premium payments, and actuarial claims data into ADLS Gen2 landing zones. Replaced manual row-by-row SSIS Slowly Changing Dimension Type 2 packages with high-performance Delta Lake MERGE operations in PySpark. Modeled dimensional star-schema data warehouses in Snowflake and created fact tables for policy lifecycle events and premium transactions. Created automated testing routines in dbt to validate financial calculation accuracy across policy premium and claims stable tables before business reporting. Developed T-SQL stored procedures, user-defined functions, and complex views on SQL Server for actuarial risk calculations and regulatory reporting. Integrated Azure Cognitive Services text analytics with PySpark pipelines to extract sentiment and risk categories from unstructured claims notes for machine learning models. Built Power BI datasets, DAX measures, and automated refresh schedules to deliver nea

Data Engineer at Infosys - Hyderabad

March 1, 2020 - November 1, 2021

Built PySpark transformation jobs on Azure Databricks and Hadoop to process banking transaction data at scale. Designed Hive and Synapse external tables for the enterprise data lake with partitioning that noticeably improved query performance for the reporting team. Set up Azure Data Factory copy activities with incremental load logic to pull data from on-premises Oracle into Azure without full refreshes. Built SSIS packages for SQL Server ETL and SSRS reports and Tableau dashboards for retail banking KPIs. Wrote shell scripts and Azure Functions for pipeline automation, log rotation, and failure alerting. Used Azure Key Vault and managed identities to secure on-prem to cloud data transfers.

Junior Data Engineer at Mphasis

January 1, 2019 - February 1, 2020

Wrote SQL queries and stored procedures in Azure SQL Database supporting financial reporting. Built Python scripts to automate CSV and XML ingestion with validation before loading into SQL Server staging. Handled production ETL incidents such as log analysis, root-cause identification, and fixes under senior guidance. Documented data flows, ETL mappings, and technical specifications in Confluence, including user-facing guides.