HealthAssist GPT
A healthcare assistant with context-aware answers grounded in documents. LLaMA 2, Mistral, and DeepSeek; Ada-002 embeddings, ChromaDB, and a Streamlit UI with citations.
AI / RAG / ACADEMIC PROJECTHEMASREE RANDHI · SENIOR DATA ENGINEER
Hi, I’m Hemasree.
I engineer data systems that power real-world decisions.
I’m a Senior Data Engineer and PhD student in Artificial Intelligence, with 6+ years of experience building cloud data platforms, distributed pipelines, and reconciliation frameworks across telecommunications and financial services. My work focuses on turning complex enterprise data into reliable, analytics-ready datasets.
My expertise includes Azure Data Factory, Azure Databricks, PySpark, Spark SQL, Snowflake, Oracle, and Delta Lake.
Python / SQL / PySpark / AzureSCROLL TO EXPLORE
01 / SELECTED WORK
Selected work
A closer look at the systems, decisions,
and ideas behind the work.
01 / TELECOMMUNICATIONS
Enterprise Telecom Reconciliation Engine
Cross-system validation of billing, subscriber, cancellation, and return-order data, with a traceable discrepancy lifecycle.
GlobalLogic · Client: T-MobileRead case study02 / FINANCIAL SERVICES
Financial Data Engineering & Settlement Reconciliation
Transaction-to-settlement validation and automated exception reporting for finance and audit workflows.
FiservRead case study03 / TELECOMMUNICATIONS
Enterprise Telecom Data Processing & Analytics
ETL/ELT pipelines turning network, subscriber, billing, and operational datasets into validated reporting data.
Sasken TechnologiesRead case studyRESEARCH / AI EXPLORATION
Research & exploration
Proposed prototypes, kept separate from professional delivery.
AI & Data Intelligence
Exploring how LLM-powered workflows could help profile, validate, and investigate enterprise data.
Portfolio concept / proposed prototype02 / OTHER THINGS I’VE BUILT
Other Things I’ve Built
Earlier academic and personal projects in AI, mobile, and web development.
Photo Memo
A smart photo organizer built with Flutter and Firebase. Google ML Kit provides on-device auto-tagging, with real-time sync, Firebase Auth, and a PHP metadata API.
MOBILE / FLUTTER / ML KITSports E-Commerce
An end-to-end store with catalog, cart, and mock checkout. HTML, CSS, JavaScript, Bootstrap, PHP, and GCP Functions. Lazy loading and asynchronous fetch delivered ~30% faster page loads.
WEB / SERVERLESS / PERFORMANCE03 / HOW I ENGINEER
How I engineer
Understand the data
Understand source systems, business rules, schemas, and data contracts.
Build reliable pipelines
Design scalable ingestion, transformation, and orchestration workflows.
Validate and reconcile
Implement data-quality controls, cross-system comparisons, and exception handling.
Optimize processing
Tune Spark workloads, joins, partitioning, and queries for performance.
Monitor and maintain
Implement logging, alerting, retries, testing, and production validation.
Technical skills
Programming
Python, SQL, Spark SQL, Bash, Shell Scripting
Big Data & Distributed Processing
PySpark, Apache Spark, Azure Databricks, Delta Lake, Hive, Hadoop
Azure Data Platform
Azure Data Factory, ADLS Gen2, Azure Synapse Analytics, Azure SQL Database, Azure Monitor, Azure Storage
Enterprise Databases
Snowflake, Oracle
Data Engineering
ETL/ELT, Data Ingestion, Data Transformation, Incremental Loads, CDC, Merge, Upsert, Workflow Orchestration, Metadata-Driven Ingestion
Data Warehousing & Analytics
Data Warehousing, Dimensional Modeling, Curated Data Layers, Data Marts, Advanced SQL, KPI Reporting
Data Quality & Governance
Schema Validation, Data Profiling, Source-to-Target Mapping, Duplicate Detection, Referential Integrity, Reconciliation, Audit Logging
Performance Engineering
Partition Pruning, Caching, Broadcast Joins, Spark Optimization, SQL Query Tuning
DevOps & Monitoring
Git, GitLab CI/CD, Terraform, Docker, Jenkins, Linux, Azure Monitor
Reporting
Power BI, Tableau, Grafana
04 / EXPERIENCE
Experience
Over six years engineering enterprise data systems across telecommunications and financial services.
June 2026 – Present
Senior Data Engineer · GlobalLogic (Client: T-Mobile)
DALLAS · TELECOMMUNICATIONS
Built Azure Data Factory and Databricks pipelines to reconcile billing, subscriber, cancellation, and return-order data from Snowflake and Oracle. Developed PySpark and Spark SQL matching rules, fallback handling, and Delta Lake discrepancy case management.
Created reusable notebooks and validation controls, supported UAT with engineering and business teams, and delivered GitLab CI/CD releases with post-deployment validation.
June 2023 – May 2026
Data Engineer · Fiserv
DALLAS · FINANCIAL SERVICES
Designed Azure ingestion and distributed transformation pipelines for financial data from settlement systems, merchant portals, and clearinghouses. Built transaction-to-settlement reconciliation and automated exception reporting.
Delivered curated datasets through Azure Synapse Analytics and Azure SQL Database. Implemented data-quality controls, Spark tuning, ADF orchestration and retries, and Azure Monitor health checks with finance and analytics teams.
June 2018 – July 2021
Junior Data Engineer · Sasken Technologies
INDIA · NETWORK, BILLING & OPERATIONAL DATA
Developed enterprise ETL/ELT workflows with Azure Data Factory, Azure Data Lake Storage, PySpark, Spark SQL, Hive, and SQL. Ingested API, FTP, and enterprise datasets; flattened JSON logs and standardized timestamps for reporting.
Applied profiling, schema enforcement, reconciliation, and validation controls. Supported Spark optimization, scheduled processing, monitoring, secure data handling, and curated reporting datasets with analysts and business teams.
05 / A LITTLE ABOUT ME
A little about me
I’m a Senior Data Engineer with over six years of experience building cloud-based data platforms and reliable data-processing systems.
My work spans telecommunications and financial services, where I’ve developed distributed PySpark pipelines, cross-system reconciliation frameworks, automated data-quality controls, and analytics-ready datasets.
I enjoy solving complex data problems, optimizing large-scale processing workloads, and building maintainable systems that turn raw enterprise data into trusted information.
Currently pursuing a PhD in Artificial Intelligence
Master of Science in Computer Science · University of Central Oklahoma
Bachelor of Technology in Computer Science · Andhra University, India
room to keep growing.
06 / CONTACT
Let’s talk.
Have a project, an opportunity, or a thoughtful question?
I’d love to hear from you.