Dear Client,
I am excited about the opportunity to assist you in building an ETL automation process for data integration, transformation, and storage using AWS services. With 8+ years of experience in data engineering, Python scripting, and cloud-based ETL solutions, I am confident in delivering a robust, scalable, and efficient pipeline for your project.
Key Areas of Expertise:
✔ Python for ETL – Extensive experience in data extraction, transformation, and loading (ETL) using Pandas, PySpark, and SQLAlchemy.
✔ Data Integration – Skilled in pulling data from APIs, flat files, and Excel spreadsheets, ensuring seamless data ingestion.
✔ Data Transformation – Strong expertise in cleaning, structuring, and optimizing data for analysis and storage.
✔ AWS Services – Hands-on experience with S3 (storage), Lambda (serverless processing), Glue (ETL), Redshift (data warehousing), and EC2 (compute) for efficient data workflows.
✔ Cloud & Automation – Proficiency in automating ETL pipelines, scheduling jobs, and optimizing data workflows using AWS Step Functions and Airflow.
I am detail-oriented, highly proficient in handling diverse data formats, and capable of developing a scalable ETL solution tailored to your needs. I look forward to discussing how I can add value to your project.
Best regards,
Syed Hassnain
Senior Data Engineer | AWS & ETL Specialist