Skills
Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure Databricks, PySpark, SQL, Python, Scala, AWS (S3, Redshift, EMR, Lambda, Glue), Hadoop (HDFS, MapReduce), Hive, HBase, Cassandra, MySQL, PostgreSQL, Oracle (PL/SQL), MongoDB, Snowflake, BigQuery, Apache Kafka, Apache Airflow, Jenkins, Git, Maven, Terraform, Docker, Kubernetes, Elasticsearch, Kibana, Amazon CloudWatch, Informatica, Tableau.
About
Rohit Reddy Rondla is an accomplished Data Engineer with over 4 years of hands-on experience designing, developing, and optimizing robust ETL pipelines and large-scale data processing solutions across banking, logistics, and academic environments. He brings deep expertise in cloud platforms (AWS, Azure, GCP), advanced knowledge of Spark (PySpark), Python, and SQL, and a strong track record in implementing and managing diverse data architectures, including data lakes, warehouses (Snowflake, Redshift, BigQuery), and streaming solutions. Rohit’s proven ability to drive data quality, governance, and automation—using leading technologies like Airflow, Databricks, and Docker/Kubernetes—ensures reliable, scalable data platforms that empower business intelligence, analytics, and compliance across complex enterprise settings.
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