Akram Shaik
@akramshaik
I build reliable ETL pipelines using Python, SQL, AWS, and Airflow.
IndiaWhat I'm looking for
I've built an end-to-end real-time stock market data pipeline that extracts, cleans, stores, and schedules financial data for downstream analysis.
During my Data Engineer internship at Amazon, I assisted with ETL pipeline development and maintenance, SQL query optimization, Python-based data cleaning, and data quality validation. I also supported AWS storage, access management, and basic pipeline setup.
I work with Python, SQL, AWS S3, PostgreSQL, Apache Airflow, and PySpark to process and manage data workflows. My project pipeline stores raw and processed datasets in S3, loads structured data into PostgreSQL, and uses Airflow DAGs for scheduled execution, error handling, and logging.
I'm building my foundation in data warehousing, data modelling, ETL concepts, Databricks, Delta Lake, and NoSQL databases while contributing to scalable and efficient data systems.
Experience
Work history, roles, and key accomplishments
Assisted in building and maintaining ETL data pipelines, wrote and optimized SQL queries, and used Python for data cleaning and automation. Supported AWS cloud services and performed data quality checks.
Education
Degrees, certifications, and relevant coursework
Vijayam Science and Arts Degree College
Bachelor of Science, Data Science
2023 -
Pursuing a Bachelor of Science in Data Science, focusing on data analysis, statistics, and machine learning fundamentals.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
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