RAJESH GOUD NERELLA
Hyderabad
Summary
Results-driven Data Engineer with over 2 years of experience in designing and implementing robust ETL pipelines. Skilled in utilizing tools such as Apache Airflow, Docker, PySpark, Kafka, and AWS services to streamline data processing workflows. Proficient in Python and SQL for data transformation and analysis, with expertise in integrating APIs and managing SFTP-based data transfers. Adept at optimizing processes to ensure high performance, scalability, and reliability in data-driven environments. Proven ability to deliver actionable insights and drive business value through efficient data engineering solutions.
Overview
2
2
years of professional experience
Work History
DATA-ENGINEER
ADP
10.2024 - Current
- Collaborated on ETL (Extract, Transform, Load) development tasks. Building data pipelines for 3rd party integrations.
- Implementing PySpark code for different vendors where we fetch data using different API's from different domains in HCM space.
- Writing AirFlow scripts where we orchestrate pipeline and push scripts to dag folder.
- Build 100+ integration for 15+ clients for loading data from and to lifion databases.
DATA ENGINEER
ADP
01.2023 - 10.2024
- Implemented Data Pipelines for loading data for new logo clients into HCM databases.
- Fetching data from multiple sources like cloud, on-premises, SAP databases and multiple delimited files.
- Glue is used to load data into RDBMS by performing transformations, mappings and data cleaning.
- Loaded data for 12 clients into WFN databases using Glue.
Education
Bachelor of Technology - Mechanical Engineering
GURU-NANAK INSTITUTE OF TECHNOLOGY
Hyderabad, India11.2020
Skills
- ETL Pipeline Development
- Data Warehousing
- Data Modeling
- RDBMS (MySQL)
- Databricks
- Python and Pyspark Programming language
- AWS(Deploying in EKS and ECS)
- Kafka
- Docker, Shell Scripting, Jenkins
Achievements
- Awarded the Podium Prodigy for successfully leading the migration of client data from on-premises databases to cloud-based solutions.
- Designed and implemented self-paced projects leveraging AWS technologies, including Step Functions, S3 Data Lake, Glue, Redshift, CloudWatch, SQS, and EventBridge.
- Developed real-time data pipelines by integrating Kafka with various AWS services for seamless data processing.
- Passionate about handling ad-hoc client requests, exploring emerging technologies, and enhancing workflows through CI/CD development.
Timeline
DATA-ENGINEER
ADP
10.2024 - Current
DATA ENGINEER
ADP
01.2023 - 10.2024
Bachelor of Technology - Mechanical Engineering
GURU-NANAK INSTITUTE OF TECHNOLOGY
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