👋🏻 I'm a graduate student at QMUL, looking for career opportunities in the field of Data Engineering. I enjoy designing, constructing, and maintaining the systems and pipelines that enable the collection, storage, and processing of large volumes of data for analysis and insights.
🎓 Masters in Big Data Science (2022-2023), from Queen Mary University of London.
💻 My work experience includes working as an Analyst / Software Developer for Capgemini Technology Services India Limited, where I contributed to the development of a complete Data Engineering (ETL/ELT) pipeline for a large American Financial Services company. During my tenure at Capgemini, I have worked with technologies such as Python, Apache Spark, SQL and AWS.
💪🏻 Skills:
- Java
- Python
- SQL
- ETL/ELT
- Modern Data Stack: Snowflake, DBT, Apache Airflow
- Data Modelling
- Apache Spark, Kafka
- Hadoop
- AWS EC2, S3, RDS, Lambda, Glue, Redshift, Kinesis, Athena
- Microsoft Azure Data Lake, Data Factory, Synapse Analytics, Azure Databricks
- Docker and Containerization
- CI/CD, Git, Unix