Experienced Senior Data Engineer with over 7 years of experience in data engineering, analytics, and a strong background in SQL, Python, cloud environments, and ETL processes. Proven ability to design, develop, and optimize ETL/ELT data pipelines using Python, SQL, Airflow, Snowflake, DBT, GIT and modern cloud technologies(AWS,GCP). Adept in working with cross-functional teams, mentoring junior engineers, and delivering scalable solutions. Collaborative and always curious, I enjoy solving complex problems, sharing knowledge, and continuously improving both myself and my team. Outside of work, I pursue sports (football, basketball, swimming), hiking, and chess.
● Designing, building, and optimizing ELT/ETL data pipelines to collect and process very large volumes of data using Kafka, SQL, Pyth...
● Designing, building, and optimizing ELT/ETL data pipelines to collect and process very large volumes of data using Kafka, SQL, Python, AWS, and Airflow.
● Migrating legacy crontab scripts and reconciliation jobs into Airflow DAGs using Python, SQL, AWS, and GitLab.
Analysing coming requestsfrom business units. Designing, building and optimizing ETL/ELTs, data pipelines that can collect and process...
Analysing coming requestsfrom business units. Designing, building and optimizing ETL/ELTs, data pipelines that can collect and process very large amounts of data by using GCP, BigQuery, Python, Databricks/PySpark,Snowflake, DBT, Airflow,Docker,Terraform.