Brahmani Thota

About Brahmani Thota

I\'m a Data Engineer with 5 years of experience, passionate about building scalable, high-performance data solutions that drive real business impact. Currently at Centene Corporation, I lead financial data engineering initiatives across Medicare, Medicaid, and Marketplace programs—working at the intersection of healthcare compliance, cloud infrastructure, and analytics.What I Do:I design and optimize large-scale data pipelines using Snowflake, AWS (Glue, S3, Athena, Lambda), PySpark, and dbt. My focus is on solving complex data quality challenges, accelerating reporting cycles, and enabling stakeholders to make faster, more informed decisions.Recent Impact:Led a Palantir-to-Snowflake migration that improved query performance by 80% and reduced reporting timelines from days to under 24 hoursBuilt automated validation frameworks that cut manual effort by 60% and reduced production incidents by 20%Developed Power BI dashboards that accelerated month-end close cycles by 40%, helping finance teams catch revenue leakage and duplicate claims earlyBeyond the Day Job:I volunteer as a Data Fellow with Delta Analytics, leading pro-bono projects for NGOs and social impact organizations. Recently, I\'ve worked with Project Sanctuary (supporting veteran families) and TeenSmart International (predictive health modeling for Latin American teens), using AWS ML pipelines and BI tools to translate data into meaningful community outcomes.My Background:I started my career in quantum computing at IBM, building educational tools with Qiskit and contributing to IBM Quantum Developer Certification. That foundation in problem-solving and optimization has shaped how I approach data engineering—always looking for elegant, scalable solutions.I\'m a lifelong learner constantly exploring new tools (currently diving deeper into Airflow, Redshift, and dbt), and I\'m always open to connecting with fellow data professionals, engineers, and anyone passionate about using data for good.Let\'s connect—whether you\'re looking to talk cloud architecture, healthcare data challenges, or social impact projects!

Experience

1. Data Engineer Ii

   Centene Corporation

   Apr 2024 — Present

   Led end-to-end troubleshooting and optimization of monthly financial reporting pipelines using SQL, Snowflake, and dbt, enforcing data quality issues early to reduce downstream defects and deployed reports to production 50% faster.• Designed medical data validation frameworks using SQL and healthcare business rules.• Integrated AWS S3 and AWS Glue ingestion pipelines to catalog and preprocess Medicaid and Marketplace source data, improving financial accuracy, enabling metadata-driven validation, and reducing manual validation effort by 60%.• Developed scalable Power BI dashboards identifying revenue leakage, duplicate claims, and expense mismatches, enabling finance stakeholders to resolve discrepancies earlier and accelerating month-end close cycles by approximately 40 per cent.• Engineered consolidated financial reporting workflows across Medicare and Marketplace using Snowflake stored procedures, reducing report generation timelines from multiple days to under twenty-four hours consistently.• Partnered with finance stakeholders in an Agile delivery environment to translate regulatory requirements into auditable data logic, proactively communicating across cross-functional teams while supporting production readiness reviews through documentation of pipeline dependencies and validation metrics, reducing recurring financial data incidents by 20%.• Led large-scale data migration from Palantir to Snowflake by redesigning data models, rewriting PySpark and SQL pipelines, and aligning schemas to enterprise financial reporting standards.• Automated financial report generation using AWS Glue, Snowflake stored procedures, and DevOps scripting, reducing reporting turnaround time by approximately 60 per cent across three healthcare lines of business.• Consolidated Medicare and Medicaid pipelines by converting legacy SQL datasets into optimised Python and PySpark workflows, reducing dataset sprawl by 25 per cent and improving long-term maintainability.

Education

• Chaitanya Bharathi Institute Of Technology

  Bachelor of Engineering - BE, Information Technology

• University of Maryland Baltimore County

  Master of Science - MS, Data Science