Ranjith Gangam

Ranjith Gangam has extensive work experience in the field of data engineering. Ranjith currently holds the position of Lead Data Engineer at 84.51°, where they are responsible for building data pipelines on the Azure cloud using various tools such as Azure Databricks, PySpark, Azure Blob Storage, Kafka, and Azure Data Factory. Ranjith has also automated Databricks jobs using Azure Data Factory and delivered data as a service by building APIs in Python.

Prior to their current role, Ranjith worked as a Senior Data Engineer at StockX, where they designed and developed data marts and pipelines for the eCommerce domain. Ranjith built real-time and batch data pipelines using Databricks Spark in AWS and also used Airflow, Redshift, and Python to build batch data pipelines in the cloud.

Before joining StockX, Ranjith worked as a Senior Data Engineer at 84.51°, where they developed data pipelines in both on-premise and Azure cloud environments. Ranjith was involved in designing and building merchandising data mart architecture on Hadoop and wrote Spark jobs in Python to transform the data.

Prior to their roles at 84.51°, Ranjith worked as a Big Data Developer at Perficient, where they were involved in designing and developing a retail transaction reporting system using technologies such as Spark, Spark Structured Streaming, Kafka, and Hortonworks HDP cluster. Ranjith also implemented a Kafka cluster for pulling data from retail data sources, wrote Spark streaming jobs to decompress and read XML transactions, and developed custom UDFs to parse XML transactions and generate real-time reports.

Ranjith also worked as a Big Data Developer at Perficient for a healthcare domain company, where they participated in the analysis, design, development, implementation, enhancement, and testing of a Data warehouse development. Ranjith used technologies such as Spark, Spark SQL, Amazon EMR, S3, and Redshift to develop data pipelines, perform ETL activities, develop facts and dimension tables, and write Spark jobs in Python for data transformation.

Earlier in their career, Ranjith worked as a Senior Software Engineer at Robert Bosch Engineering and Business Solutions Ltd. Here, they developed data pipelines using Flume, Sqoop, Pig, and MapReduce to ingest customer behavioral data and purchase histories into HDFS for analysis. Ranjith also used Pig for ETL transformations, created Hive tables, and developed MapReduce programs for applying business rules to the data.

Overall, Ranjith Gangam possesses a diverse skill set in data engineering and has experience working with various technologies and cloud platforms.

Ranjith Gangam completed their Bachelor's degree in Computer Science from Jawaharlal Nehru Technological University from 2006 to 2010. Ranjith then pursued a Master's degree in Computer Science from the University of Cincinnati from 2015 to 2016. During the same period, they also obtained a Data Science Certification with a focus on Data Modeling/Warehousing and Database Administration from the University of Cincinnati. Additionally, Ranjith has certifications including HDP Certified Spark Developer from Hortonworks in 2017, Data Science Certification from the University of Cincinnati in 2016, ANKIT FADIATM Certified Ethical Hacker from AFCEH in 2010, and IBM Certified Database Associate --DB2 9 Fundamentals from IBM in 2009.