Hi, I'm Rohan
Data Engineer at Google
Based in the San Francisco Bay Area. I architect scalable data warehouses, build automated measurement systems, and design high-freshness pipelines to drive revenue and operational excellence.
About Me
Who am I?
I graduated from the University of Texas at Austin with a BBA in Management Information Systems (McCombs School of Business) and a minor in Computer Science.
Throughout my career spanning Chevron, Glassdoor, and now Google, I have specialized in bridging the gap between business operations and highly technical data architectures in order to drive revenue growth. I enjoy designing clean, scalable ETL pipelines, optimizing data footprints, and deploying custom software tools that make engineering operations seamless.
Beyond core data engineering, I have a passion for building AI-driven applications, interactive maps, and analytics dashboards.
Skill Domains
Data Engineering
Designing reliable warehouses, modeling schemas, and scheduling complex ETL workflows.
AdTech & Measurement
Unifying first-party consent signals, configuring tag gateway engines, and optimizing attribution models.
Development & DevOps
Writing performant algorithms, setting up automated CI/CD pipelines, and orchestrating containers.
Work Experience
Data Engineer (Measurement & Attribution)
- Spearheaded the technical design and metrics framework for a global tagging and attribution initiative, unifying disparate data signals to identify and quantify multi-billion dollar market opportunities.
- Architected a self-service diagnostic suite to validate and troubleshoot tagging implementations, automating manual support workflows and safeguarding billions in at-risk advertising revenue.
- Led the design of an executive-level analytics dashboard and reporting framework, consolidating first-party ingestion signals to drive platform adoption and improve advertiser attribution.
- Modernized the core measurement data warehouse by migrating siloed data pipelines to a centralized workflow, reducing the storage footprint by 22% while maintaining a 99% service-level objective (SLO) for data freshness.
Data Engineer (Global Infrastructure)
- Designed and engineered a scalable customer reporting platform for newly onboarded advertiser segments, boosting product activation rates by 15% quarter-over-quarter.
- Established a standardized technical intake and prioritization framework for business strategy and operational teams, streamlining feature delivery and alignment.
- Automated pipeline deployment workflows by developing Python-based template generators, reducing deployment cycle times and eliminating manual scripting overhead.
Glassdoor
Senior Data Engineer
- Overhauled outdated infrastructure and developed data products to power the Employer Center feature through highly performant queries, resulting in a cost savings of $30K per month.
- Led initiative to integrate Fishbowl data in order to provide post and topic insights to Glassdoor customers and internally track site-wide engagement.
- Implemented data monitoring and alerting system using Apache Airflow and an in-house anomaly detection tool, improving data quality and reliability.
Chevron
Senior Data Engineer
- Designed a data warehouse using a star schema to simplify business reporting logic and eliminate complex queries upon migrating on-premise ServiceNow data to Synapse dedicated SQL pools.
- Built over 30 ETL pipelines to generate type 2 dimensions off several gigabytes of data and loaded it into the data warehouse.
- Developed models and pipelines to serve up a one-stop-shop solution to provide senior leadership with metrics for each digital platform, such as cost, number of API integrations, and user satisfaction.
- Created fully automated CI pipelines and established git workflow for all teams within the release train to follow.
Chevron
Data Engineer / Analytics Developer
- Migrated on-premise ETL pipelines to cloud-provisioned servers via a modern data warehouse architecture providing an average cost savings of 30 to 50 percent.
- Co-engineered an API to "geocode" Chevron owned real estate assets and environmental sites data for consumption by other business units.
Chevron
Software Engineer
- Designed and implemented API integration pattern linking SAP and Azure to a B2B Commerce portal in Salesforce for on-demand PDF generation.
- Orchestrated and developed a strategy to modernize Sales Cloud through dark deployment resulting in seamless integration into production with zero downtime.
Intel
SDG Technical Intern
- Constructed over 50 pre-silicon design indicators through SQL and PowerPivot for mobile System-on-Chip (SoC) processors used by senior management to track project milestones.
- Optimized reports and scheduling data using robotic process automation in VBA, saving analysts critical validation hours.
Selected Projects
Custom Running Route Mapping App
A custom web application built to parse GPX coordinate uploads, mapping complex running routes with dynamic telemetry layers. Incorporates interactive Leaflet.js mapping layers and elevation pace profiling graphs.
AirGradient Data Ingestion Pipeline
Designed and engineered a real-time data ingestion and stream processing pipeline to process high-velocity environmental metrics (PM2.5, CO2, temperature, humidity) from a DIY AirGradient sensor. Streamed telemetry data via Apache Kafka, processed payloads using Apache Spark, and persisted metrics into a Cassandra DB cluster, utilizing Prometheus and Grafana for system observability and Airflow for pipeline orchestration.
Document Management & Systems Dev
Translated client specifications into tangible software features. Designed a Drupal-based document repository enabling streamlined public asset filing and file searching logic.
Longhorn Bank MVC App
A complete mock online banking web application built in C#. Integrated standard database state schemas to manage account actions, transaction logs, and secure balance calculations.
Get In Touch
Have a project idea, question, or just want to connect?