Data Engineer

Rohith Kota

• San Francisco, CA • ***********@*****.*** • +1-857-***-****• LinkedIn • Open to Relocate

“Highly determined Data Engineer with 5+ years managing petabytes of data. Experienced in building Scalable Data Lakehouses, 200+ Batch and Streaming ETL pipelines and Big Data Infrastructure to enhance data accessibility and reliability” SKILLS

Programming Languages: Python (PySpark, Pandas, NumPy), SQL (T-SQL, PL/SQL, SparkSQL), Scala Big Data Technologies: Spark, Airflow, Kafka, HDFS, Hive, Presto, Hadoop ETL & Visualization: Airflow, Azure Data Factory, Dagster, DBT, Databricks, Fivetran, Power BI, Tableau, Looker Databases & Storage: Snowflake, PostgreSQL, Redshift, ADLS, Azure Synapse, S3, MySQL, MSSQL, MongoDB (NoSQL) Other Tools: Git, Agile, JIRA, Docker, VS code, Kubernetes, CI/CD Pipelines, MLflow WORK EXPERIENCE

Product Data Engineer Aug 2024 – Present

META Platforms Inc Menlo Park, CA

• Engineered Data foundations by ingesting logging scrapes and building Ads performance metrics across multiple 0 1 Ads delivery product. Accelerated feature iterations and unlocking ~$300 M in incremental revenue.

• Architected a Product Growth framework using Airflow DAGs to automate end-to-end ETL integration, HIVE tables and standardized metrics. Adopted by 9+ product teams, slashing developer effort by 80% and infrastructure overhead by 55%.

• Designed a granular UTM-parameter matching framework in Presto to process 200 B+ records. standardizing integration of Google Analytics and Adobe logs via API, delivered a 5% conversion uplift alongside a 12% increase in marketing spend.

• Processed 2 PB/day Spark + Hive pipeline to generate feature-rich training datasets, retrain ML models and A/B experiments, auto-flag high-CPA Ad Campaigns — delivering a 20% lift in conversions and a $150M uptick in advertiser spend.

• Frontend Products: multi rules, partner integration Data Engineer Jun 2023 – Jul 2024

T-Mobile, USA Seattle, WA

• Implemented a Medallion-layer Data Mesh on Azure (ADF + Databricks over ADLS), orchestrating batch & streaming pipelines that feed governed Gold layers to 5 + Power BI dashboards—cut ETL latency 20 % and time-to-insight 30 %.

• Contributed development of comprehensive Operational and Data Quality monitoring infrastructure for T-Mobile, stabilizing 300+ tasks by creating 50+ data quality rules to ensure 2C data correctness.

• Analyzed T-Mobile device application performance in Snowflake. Leveraging DBT for efficient transformation, identified vendor charge discrepancies for unsuccessful installations. This led to proposed agreement modifications, cutting cost by 16%. Data Engineer Nov 2022 – Jun 2023

Drexel University Philadelphia, PA

• Processed 10+ million time series data records, building batch data pipelines using BigQuery, and streaming pipelines using DataFlow (Apache Beam). Used Airflow for orchestration and Composer for deployment.

• Designed and operationalized customized ETL pipelines by addressing ad hoc requests for different departments using SSIS for MsSql, Oracle Data Integrator (ODI) and Teradata, ensuring seamless data flow to cater to specific analytical demands.

• Enhanced Database efficiency, Memory utilization, and improved System Functionality by 15% Data Engineer/ Analyst Jun 2020 - Aug 2022

High Radius Hyderabad, TG

• Fabricated a Data Warehouse for an E-fitness client with 100+ tables and composed 25+ ETL Pipelines using Azure Data Factory from MongoDB, MySQL, App Store Connect API and WooCommerce to MSSQL Server.

• Played a role to create scalable, fault-tolerant data pipelines using Kafka and Amazon Kinesis for real-time data ingestion into Redshift, achieving a 25% reduction in latency through parallel processing techniques.

• Revamped existing reporting and data management system utilizing SQL & Tableau reduced data redundancy by 38%

• Collaborated with cross functions to implement Zoho CRM and automate Business process, increased growth visibility by 24% EDUCATION

Drexel University, Le Bow College of Business Philadelphia, PA Master of Science, Business Analytics

Chandigarh University, Apex Institute of Technology Chandigarh, IN Bachelor’s in technology, Computer Science Engineering

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