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Manal Agrawal

@manalagrawal

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Data Engineer & Data Quality Specialist delivering reliable ETL with Azure.

United States

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What I'm looking for

I’m looking for a role where I can own data quality and reliability—building Databricks/SQL validation, automating ETL testing, and delivering actionable Power BI datasets—while collaborating in Agile teams to resolve root causes and improve pipeline performance.

I’m a detail-oriented Data Engineer & Data Quality Specialist with 10+ years of experience in ETL, Azure Databricks, SQL/Hive queries, data validation, Power BI reporting, and large-scale data transformations across Insurance, Banking, Healthcare, and Retail. I build and troubleshoot data pipelines end-to-end, with a strong focus on data modeling, reconciliation, and automation frameworks that keep datasets trustworthy for analytics and BI teams.

At Markel, I’ve performed large-scale source-to-target data reconciliation using BITS Automation, developed Azure Databricks notebooks to validate transformations and business rules, and wrote Databricks SQL for data quality checks. I also built and automated Power BI dashboards (including Power Query shaping and scheduled refresh pipelines) and joined root cause analysis to address data quality issues and pipeline failures. Earlier, I validated DataLake ingestion across layers, executed Jenkins-driven testing, supported SAS 9.2 to AWS Hadoop migration, and delivered provider data ETL validation through Informatica mappings—backed by multiple “On the Spot” awards at TCS and a published Learning Object (LO) on Ultimatix Prime.

Experience

Work history, roles, and key accomplishments

QA Analyst - Data Analytics

Markel, Inc.

Jan 2025 - Dec 2025 (11 months)

Performed large-scale source-to-target data reconciliation using automated workflows and investigated data quality issues and pipeline failures. Built Azure Databricks notebooks and Databricks SQL checks to validate transformations and business rules, and delivered scheduled Power BI dashboards for self-service analytics.

Azure Databricks Databricks ETL Testing Data Quality Data Reconciliation Power BI Modeling SQL Jira

ETL Tester

Markel, Inc.

Dec 2023 - Dec 2024 (1 year)

Validated a data lake’s ingestion, transformation, and consumption layers by verifying schemas and transformation outputs. Created Databricks notebooks for transformation verification, tracked defects in JIRA, and produced Power BI summaries to report test progress and validation results.

Databricks ETL Testing Data Lake Ingestion Validation Power BI Jira SQL Data Pipeline Testing Agile Collaboration

QA Analyst - Retail

Apex

Mar 2020 - Mar 2023 (3 years)

Executed functional, regression, and integration testing for data-driven retail applications. Automated and monitored Jenkins pipelines, analyzed backend logs with Splunk and Azure logs to validate data flows, and delivered Power BI dashboards for execution metrics and sprint KPIs.

Jenkins Regression Testing Integration Testing Splunk Azure Logs Data Validation SQL Power BI KPIs Agile Ceremonies

QA Analyst - Data Migration

Royal Bank of Scotland

Aug 2018 - Apr 2019 (8 months)

Supported data migration from SAS 9.2 to the AWS Hadoop ecosystem by validating migration accuracy. Performed data masking and encryption validation using Pricchaa and used SQL and UNIX scripting for verification.

Data Migration AWS Hadoop Ecosystem Validation Data Masking Quality Assurance Testing

ETL & Data Analyst

Humana, Inc.

May 2015 - Jun 2017 (2 years 1 month)

Developed SQL scripts to validate provider data and performed data quality checks. Designed Informatica mappings, executed unit testing for ETL workflows, automated schedules using Dollar Universe, and produced audit reports and monthly data quality summaries.