# POLAMARASETTY VIGNESH RAHUL CHANDRA - Data Engineering and Analytics Professional
Source: https://hello.cv/vigneshchandrapolamarasetty
Visakhapatnam

## Links
- LinkedIn | https://www.linkedin.com/in/rahul.linkedin

## About
Highly motivated Data Engineering and Analytics professional with a B.Tech in Electronics and Communication, specializing in cloud-based ETL, big data processing, and advanced analytics. Proven ability to design and optimize scalable data pipelines on GCP and Hadoop, create interactive dashboards, and deliver actionable insights. Eager to leverage strong technical skills in PySpark, BigQuery, and Looker Studio to drive data-driven strategies and enhance business outcomes.

## Work
### Data Engineering and Analytics Intern | Revature
Spearheaded the development and optimization of cloud-based ETL pipelines and real-time processing solutions to deliver actionable business insights within an agile data engineering environment.
- Built and optimized ETL pipelines using PySpark, Apache Spark, and Hive to efficiently process large datasets, significantly improving data processing speed and reliability.
- Designed and implemented scalable, cost-effective data pipelines on Google Cloud Platform (GCP) leveraging BigQuery, Dataproc, Cloud Storage, and Cloud Composer.
- Developed real-time and batch processing solutions within the Hadoop ecosystem, integrating structured and semi-structured data sources for unified analytics.
- Created interactive dashboards and reports using Looker Studio to visualize key performance indicators (KPIs) and deliver actionable business insights to stakeholders.
- Collaborated effectively in an agile environment, building end-to-end data engineering solutions while adhering to best practices for data quality, transformation, and performance optimization.

## Skills
### Programming & Query Languages
- Python (Pandas, NumPy, PySpark)
- SQL (MySQL, PostgreSQL)
- Scala
### Databases & Storage
- MySQL
- PostgreSQL
- MongoDB
- BigQuery
- Snowflake
### Data Engineering Tools
- Apache Spark
- Apache Airflow
- Kafka
- Hive
- Dataproc
- Cloud Composer
- dbt
### Cloud Platforms
- GCP (BigQuery, Cloud Storage, Dataproc, Dataflow)
- AWS (S3, Glue, Redshift)
### Data Analysis & Visualization
- Tableau
- Power BI
- Looker
- Excel
- Matplotlib
- Seaborn
### Data Warehousing & Modeling
- Star/Snowflake Schema
- OLAP/OLTP concepts
- Fact & Dimension tables
### Version Control & DevOps
- Git
- Docker (basics)
- CI/CD (Jenkins or GitHub Actions)

## Education
### Raghu Engineering College | Electronics and Communication
6.91/10 CGPA
- Database Systems
- Data Warehousing
- Big Data Processing

## Certificates
### Python Essentials
MICROSOFT
### Generative AI
LINKEDIN
### Programming foundations
LINKEDIN
### Python for Software
CHEGG
### Developer and Technology Job Simulation
ACCENTURE
### Data Science
YBI Foundation

## Projects
### Failed Banking Transactions Data Pipeline
Implemented automated pipelines to ingest and process high-volume banking transactions using distributed compute frameworks on cloud clusters, focusing on data integrity, anomaly detection, and regulatory reporting.
### Global Sales Analysis ETL and Predictive Modeling
Designed and deployed a cloud-based ETL pipeline to integrate multi-format sales data from eight countries into a centralized data warehouse, incorporating predictive models for enhanced decision support.

## Source
Read this profile on Hello.cv: https://hello.cv/vigneshchandrapolamarasetty
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