Gokul kanan Kannan

Certified Data Engineer with 3+ years of professional experience in Python, SQL, and Big Data technologies. Skilled in designing and implementing scalable ETL pipelines, building data lakehouse architectures, and working with modern cloud platforms including AWS, GCP, and Azure.

Proficient in:

Programming & Data Processing: Python, PySpark, Scala, Pandas

Databases: Oracle, PostgreSQL, Hive, BigQuery, Snowflake

Data Engineering Tools: Apache Spark, Kafka, Airflow, Flink

Cloud Services: GCP (BigQuery, Dataflow, Cloud Composer), AWS (S3, Glue, Redshift)

Data Modeling: Dimensional modeling, relational schemas, and partitioning strategies

Data Engineer with 3+ years of IT experience, transitioning from Application Support to Data Engineering. Proven expertise in Python, SQL, PySpark, Scala, and cloud-based big data solutions across AWS, GCP, and Azure. Skilled in designing and deploying scalable batch and streaming pipelines, data modeling, and ETL workflows using tools such as Apache Spark, Kafka, Airflow, and Snowflake.

Holder of multiple industry-recognized certifications including AWS Data Engineer Associate, GCP Data Engineer, Azure Data Engineer, Databricks Data Engineer, and more. Demonstrated ability to solve complex data challenges, optimize system performance, and deliver reliable analytics solutions. Experienced in working on E-commerce Data Lakehouse and real-time analytics projects.

Bachelor of Engineering in Computer Science