Open to opportunities

Dhathri Gundum

@dhathrigundum

Message

I build scalable data pipelines and dashboards that accelerate business decisions.

United States

Message

What I'm looking for

I'm looking to build scalable data solutions, automate reporting workflows, and create actionable dashboards that help operational and business teams make faster, data-driven decisions.

At The Cigna Group, I build Power BI dashboards and Python-driven reporting workflows that cut executive reporting cycles by 30% and support more than 30 operational and financial stakeholders. I use SQL, AWS, dbt, Snowflake, Looker, and Redash to deliver governed datasets and improve reporting accuracy.

Previously at Bank of America, I engineered Scala and Spark SQL pipelines processing over 53 billion records for AML reporting, improving turnaround by 35%. I've also delivered SQL, Tableau, Power BI, Python, and Looker analytics for business, marketing, operational, finance, compliance, and product teams.

Experience

Work history, roles, and key accomplishments

Current

Healthcare Data Analyst

Current

The Cigna Group

Jun 2024 - Present (2 years 2 months)

Developed Power BI dashboards using complex SQL queries that reduced executive reporting cycle by 30%. Automated data extraction and reporting workflows in Python integrated with Looker and Redash, reducing ad hoc requests by 20%.

SQL Python Power BI Looker Redash AWS DBT Snowflake Data Validation Workflow Automation

Big Data Developer

Bank of America

Nov 2022 - May 2024 (1 year 6 months)

Engineered scalable data pipelines using Scala and Spark SQL to extract and transform over 53 billion records, accelerating AML reporting turnaround by 35%. Designed interactive Tableau dashboards with HiveQL-sourced data that improved stakeholder decision-making speed by 25%.

Scala Tableau Python DBT AWS Redash SQL Data Pipelines ETL Data Validation Workflow Automation

Business Analyst / Data Analyst

EAIESB Software Solutions Pvt. Ltd.

Aug 2019 - Dec 2020 (1 year 4 months)

Gathered and documented reporting requirements from over 10 stakeholders using SQL and Tableau, improving cross-team communication and reducing dashboard revision cycles by 15%. Automated data preparation workflows with Python and Excel, cutting manual processing time by 30%.