💼 Experienced AWS Data Engineer with 2+ years specializing in scalable applications, data pipelines, and AWS cloud solutions.
👨‍💻 I am passionate about Python, AWS, Data Engineering, Machine Learning & I enjoy learning new things.

3 Years of experience working in Python.

• Led the design and implementation of healthcare data solutions on AWS, utilizing services such as S3, EC2, PostgreSQL, Glue, CloudWatch, Lambda, EventBridge, Secrets Manager, SNS, SQS, CloudFormation, and IAM.
• Developed and maintained ETL/ELT pipelines using Python, PySpark, and Boto3, processing large-scale healthcare data by filtering, applying business rules, and transforming it into Parquet format for destination systems.
• Implemented real-time data streaming solutions with Kinesis, ensuring efficient data ingestion and processing in the medical domain.
• Implemented PII detection and masking for Red data of the client using Amazon Comprehend, ensuring sensitive information was identified and protected in compliance with data privacy standards.
• Collaborated with customers/onsite teams, actively involved in requirement gathering and aligning solutions with business needs.
• Wrote and optimized AWS Glue ETL jobs, analyzing source data and ensuring efficient data transformation and loading.
• Applied Agile methodologies, working closely with product managers, engineering teams, and stakeholders to deliver scalable solutions.
• Led a team of four as an Offshore Lead, ensuring timely delivery and code quality.
• Proven ability to quickly learn and apply new technologies, translating business requirements into client-focused solutions.

• AWS Certified Developer Associate (DVA-C02)
• AWS Certified Data Engineer Associate (DEA-C01)
• Azure Fundamentals (AZ-900)
• On the spot Award
• Star of the Month Award