Experienced Data Engineer with expertise in Python, Pyspark, AWS, SQL, and Big Data. Skilled at translating complex business requirements into technical solutions, I have a passion for problem-solving and love debugging code or fixing any deployment issue. I'm also adept at learning and applying new technologies.Actively pursuing continuous learning, I have undertaken projects involving PySpark and Pandas, including the successful implementation of a data pipeline using AWS Glue and Athena. This practical experience, coupled with my background in Python Development, positions me with the skills and expertise essential for success in a data engineering role.Additionally, I have been involved in development, code review, system design, documenting technical specifications, sprint planning, providing ETAs, and mentoring new team members. I have experience working with cross-functional and global teams from diverse regions like Brazil, Europe, China, and South Asia.My Tech stack is as follows :Programming: Python, PySpark, SQLData Engineering: Data Modeling, ETL Pipeline, Data Ingestion, Data Warehousing, Data Transformation, Data Visualization, Data Pipeline OrchestrationBackend : Laravel, Django, Flask and NodeJs ExpresssBig Data Technologies: Hadoop, HDFS, Hive, Apache Spark, Kafka, AirflowCloud services: AWS (Glue, S3, Athena, Redshift, EMR, Quicksight, Lambda), Databricks and Azure FundamentalsDatabases: MySQL, PostgreSQL and MongoDBOperating System : Windows, Linux Ubuntu Tools : VS Code, Git bash, Postman, Jira and Confluence