Rakesh Gunapati
Reno,NV
Summary
Data Engineer with 7+ years of experience in designing scalable data platforms and ETL pipelines. Proficient in Big Data technologies including Hadoop, Hive, Spark, and Kafka, facilitating efficient large dataset processing. Successfully architected data warehouses and optimized transformations, resulting in a 30% reduction in processing time and $1M in annual savings.
Overview
9
9
years of professional experience
1
1
Certification
Work History
Big Data Engineer
State Of Nevada - Governor's Finance Office
Carson City, Nevada
07.2024 - Current
- Architected scalable big data pipelines, reducing processing time by 30% through optimized Spark transformations.
- Designed robust ETL frameworks with ODI and custom Python data pipelines for reliable data ingestion.
- Led data architecture initiatives, establishing engineering best practices in scalable system design.
- Implemented comprehensive data governance policies to ensure quality and compliance across the platform.
- Collaborated with data science teams to integrate machine learning models for real-time analytics.
- Managed end-to-end delivery of projects with a cross-functional team of four engineers.
- Optimized data transformation workflows to enhance reporting accuracy and minimize latency.
Data Engineer
Microsoft
Reno, Nevada
03.2017 - 06.2024
- Engineered end-to-end ETL pipelines with ODI and custom Python scripts to load millions of records daily into Snowflake from NetSuite and QuickBooks.
- Designed dimensional data models and optimized schema architecture for analytical workloads, implementing SCD Type 2 for historical tracking.
- Performed large-scale data integration using SQL, Oracle APIs, and NetSuite APIs to create unified data views for business intelligence.
- Developed data transformation logic that delivered $1M in annual cost savings through actionable insights for reporting and growth analysis.
- Created and maintained over 100 production data pipelines, ensuring reliability and adherence to SLA requirements.
- Optimized SQL queries to achieve significant performance improvements in data transformation workflows.
- Extracted data from heterogeneous sources to centralized platforms using Python and SQL-based ETL processes.
Education
Master of Science - Computer Science
University of Nevada, Reno
RenoSkills
- Hadoop ecosystem expertise
- Kafka and Flink integration
- ETL and data warehousing
- Big data architecture
- Spark optimization
- Cloud solutions Expert
- Dimensional modeling
- Kubernetes deployment
- RESTful APIs
- Big data analytics
- Docker containers
- Shell scripting
- Scala programming
- PL/SQL scripting
- Jenkins automation
- Python programming
- Spark development
- Advanced analytics
- Microservices architecture
- Data integration
Certification
- Microsoft Certified: Azure Fundamentals (AZ-900)
- Microsoft Certified: Azure Developer Associate (AZ-204)
- Microsoft Certified: Azure DevOps Engineer Expert (AZ-400)
Timeline
Big Data Engineer
State Of Nevada - Governor's Finance Office
07.2024 - Current
Data Engineer
Microsoft
03.2017 - 06.2024
Master of Science - Computer Science
University of Nevada, Reno
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