🔹 A passionate Data Engineer specialized in Python, SQL, ETL Development, and Cloud Data Warehousing (Snowflake, Redshift).
🔹 Skilled in building scalable Data Pipelines, Automation Systems using Apache Airflow, Kafka, and RabbitMQ.
🔹 Focused on delivering production-ready data systems and generating actionable insights from large datasets.
- Programming: Python, PySpark, SQL
- Data Engineering: ETL Development, Data Modeling (Star, Snowflake Schema)
- Cloud Platforms: AWS (EC2, S3, Lambda, RDS), Databricks
- Orchestration: Apache Airflow, Shell scripting, Cron jobs
- Databases: Snowflake, Redshift, MongoDB, PostgreSQL, MySQL
- Other Tools: Apache Spark, IBM Cognos Analytics, GitHub, Generative AI
- Built ETL workflows integrating OLTP and NoSQL systems with Apache Airflow.
- Developed sales forecasting models using SparkML.
- Visualized KPIs using IBM Cognos Analytics.
- Designed pipelines to process live TCP/IP stream data into structured databases (SQL/CSV).
- Used RabbitMQ and MySQL Stored Procedures for asynchronous and optimized processing.
(More projects will be added soon 🚀)
- IBM Data Engineering Certificate (Coursera)
- Python (Basic) - HackerRank
- SQL (Intermediate) - HackerRank
- Email: charakirahul@gmail.com
- LinkedIn: Rahul_Charaki
Always eager to learn, build, and grow!