Data engineering
Designing dependable batch and streaming pipelines with a focus on quality, maintainability, and performance.
PySparkSpark SQLETL / ELTAirflow
DATA ENGINEER · BENTONVILLE, AR
Turning complex data into systems that scale.
I'm Tarun Punhani, a data engineer building reliable cloud platforms, production data pipelines, and forecasting systems that help teams make better decisions.
CLOUD & DATA PLATFORMS
BUILD · OPTIMIZE · SCALE
$140K+Annual cloud savings delivered
500 TBUnused cloud storage cleaned up
10+Data tables onboarded
52 weeksForecast horizon supported
01 / EXPERTISE
Engineering data from source to insight.
I work across the data lifecycle—from ingestion and transformation to orchestration, observability, and production-ready analytics.
Cloud platforms
Building and migrating data workloads across cloud environments, with scalable storage and processing.
GCPBigQueryGCSDatabricks
Streaming & reliability
Connecting operational systems to analytics platforms, strengthening data freshness and production operations.
KafkaKafka ConnectDelta LakeCI/CD
Forecasting data systems
Engineering the data workflows, validations, and deployment processes behind operational forecasting.
PythonCatBoostData qualityDataproc
02 / SELECTED WORK
Selected engineering case studies.
A closer look at the kinds of problems I solve. These are high-level summaries of professional work, not public code repositories.
01 / CLOUD MODERNIZATION
STREAMING DATA ARCHITECTURE
Modernizing enterprise data ingestion
Helped move streaming workloads from Azure to Google Cloud, integrating Kafka Connect, Cloud Storage, and Databricks Auto Loader to support downstream Delta Lake processing.
FOCUSRepeatable deployments, reliable ingestion, and cloud-native processing
Kafka ConnectGCSDatabricksDelta Lake
02 / FORECASTING PLATFORM
PRODUCTION DATA WORKFLOWS
Scaling inbound forecasting pipelines
Developed and maintained Databricks/PySpark workflows supporting inbound demand forecasting, historical actuals, validation, and an extended 52-week planning horizon.
IMPACT52-week forecast horizon
PySparkDatabricksBigQueryPython
03 / CLOUD EFFICIENCY
COST & PERFORMANCE
Optimizing cloud data operations
Analyzed compute utilization and automated cleanup of unused cloud storage to reduce infrastructure spend while supporting ongoing data operations.
IMPACT$140K+ annual savings · 500 TB cleanup
GCPAzure Data LakeAutomation
04 / DATA INTEGRATION
AUTOMATED INGESTION
Replacing manual reporting dependencies
Built a scheduled integration using Microsoft Graph API to ingest SharePoint-hosted reports into Google Cloud Storage for downstream Databricks processing.
FOCUSLess manual intervention and simpler data movement
Microsoft GraphGCSJavaDatabricks
03 / CAREER
Built through hands-on engineering.
From test automation and backend systems to large-scale data platforms, each role has shaped how I approach reliability and delivery.
JAN 2023 — PRESENT
Software Engineer III · Data Engineering
Sam's Club / Walmart Global TechCloud data engineering, batch and streaming ingestion, forecasting data pipelines, production reliability, and platform cost optimization.
GCPDatabricksPySparkKafka
JAN — AUG 2022
Software Engineering Intern
AxxessEnhanced home-care application features, resolved production issues, and used application logs to support debugging and performance improvements.
SEP 2020 — JAN 2021
Sr Software Development Engineer In Test
Times InternetDeveloped backend services, database integrations, and automated CI/CD workflows for a consumer web application.
NOV 2018 — AUG 2020
Sr Software Engineer - QA - Engineering
Airtel Digital Limited · Wynk MusicBuilt mobile automation frameworks from scratch with Selenium and Appium for Android and iOS, performed API testing, and supported JMeter-based performance testing.
SeleniumAppiumREST APIsJMeter
JUL — NOV 2018
QA Engineer
PaytmAutomated REST API testing for payment workflows and developed tooling to improve testing efficiency.
OCT 2014 — JUL 2018
Test Engineering Analyst
AccentureCreated data-driven Selenium test frameworks and automation utilities for enterprise software testing.
04 / EDUCATION
A foundation in computer science.
2021 — 2022
M.S. Computer Science
University of Texas at Dallas
2010 — 2014
B.Tech. Computer Science & Engineering
Dr. Akhilesh Das Gupta Institute of Technology & Management
05 / LET'S CONNECT
Have a data challenge worth solving?
I'm interested in impactful data engineering opportunities, thoughtful technical conversations, and teams building reliable systems at scale.
tpunhani@gmail.com