I am a data engineer with 3 years of experience in building and maintaining data pipelines, data warehouses, and data lakes. I have a strong understanding of the full data engineering lifecycle, from data ingestion and transformation to data analysis and visualization. I am also proficient in a variety of data engineering tools and technologies, including Python, SQL, Spark, and Airflow. I have worked on multiple projects on different cloud technologies like AWS, Azure and GCP.

Some of the data engineering services that I offer:

Data pipeline development and maintenance: I can design and build data pipelines that ingest, transform, and load data from a variety of sources to target data stores. I can also maintain and optimize existing data pipelines to improve performance and reliability.

Data warehouse and data lake development: I can design and build data warehouses and data lakes that store and manage large amounts of data for analysis. I can also help you to choose the right data warehouse or data lake architecture for your needs.

Data quality and governance: I can help you to improve the quality and governance of your data. I can develop data quality checks and metrics, and I can implement data governance policies and procedures.

Data analysis and visualization: I can help you to analyze your data and create visualizations to communicate your findings to others. I am proficient in a variety of data analysis tools and techniques, including SQL, Python.