I am a Data Engineer with 4+ years of experience building and managing data pipelines, ETL processes, and cloud-based data solutions. My expertise spans across Python, SQL, PySpark, AWS (Glue, Athena, Redshift, Lambda), Snowflake, and DBT, where I’ve worked on large-scale projects involving data migration, reconciliation, and analytics.
Alongside my technical engineering background, I also provide high-quality support in data entry, data cleaning, and data formatting. I am detail-oriented, reliable, and efficient with tools like Excel, Google Sheets, and SQL-based transformations, ensuring accuracy and timely delivery of projects.
Key skills I bring to your project:
Data Engineering: ETL pipelines, data migration, automation, and analytics solutions
Cloud Platforms: AWS (Glue, Redshift, Athena, Lambda), Snowflake, Azure basics
Programming: Python, SQL, PySpark
Data Entry & Management: Accurate data entry, cleaning, validation, formatting, and reporting
Strong documentation skills: Clear process documentation and knowledge base writing
Whether you need a complex data pipeline built in the cloud, or simple, accurate, and reliable data entry/management support, I can deliver results with professionalism and attention to detail.
I look forward to collaborating with clients who value quality, transparency, and long-term partnerships.