Certified AWS Engineer with 8+ years of experience in data engineering, specializing in ETL pipelines, data warehousing, and cloud-based solutions (AWS, Azure). Skilled in Python, SQL, PySpark, and big data tools (Spark, Kafka, Hadoop). Proven track record of optimizing data workflows, automating processes, and delivering actionable insights through PowerBI dashboards. Proficient in Agile methodologies and adept at collaborating with cross-functional teams to drive data-driven decisions.
Cloud: AWS (S3, Lambda, Glue, EMR, SageMaker), Azure (Data Factory, Databricks, Synapse Analytics)
Databases: SQL, Snowflake, MongoDB, Cassandra, DynamoDB
ETL/Big Data: Spark, Kafka, Hive, Hadoop, Azure Data Factory, Informatica
Languages: Python, SQL, C,Scala, Shell Scripting
Tools: PowerBI, Tableau, GIT, Jenkins, Docker, Terraform, JIRA