Ashish Kumar

Worked on the Amazon Global Financial platform to process financial numbers coming from all lines of businesses for business analytics.

Technologies Used:

• Big Data: Apache Spark
• Programming Language: Java, Python, Scala.
• WorkFlow Scheduler: Airflow
• CICD: Pipelines (Internal Tool)
• Databases: Oracle.
• Cloud: AWS

Worked on developing and maintaining a data platform (Incent-Wise) to provide incentives to Amex Credit card users.

Technologies Used:

• Big Data: Apache Spark
• Programming Language: Java, Python
• Scheduler Workflow: Airflow.
• Cloud: AWS
• CICD: Jenkins

Worked on JP Morgan Consumer and Business banking clients' lifecycle platform to develop business analytical data.

Technologies Used:

• Big Data: Apache Spark
• ETL Tool: Talend
• Programming Language: Java
• Databases: Oracle, Cassandra.
• Cloud: AWS.
• CICD: Jenkins
• Scheduler: AutoSys

Worked on Citi Bank commercial cards data platform to process high volume of transactions.

Technologies Used:

• Big Data: Apache Spark, Hadoop.
• ETL Tool: Talend, Informatica.
• Programming Languages: Java.
• CICD: TeamCity
• Database: DB2, Oracle

Worked on American bank (Citi) to develop and maintain a real-time and batch processing data platform to manage commercial cards data.

Technologies Used:

• Big Data: Apache Spark
• Programming Language: Java, Python
• ETL Tool: Talend
• Cloud: AWS.
• Web: Rest APIs

Developed and maintained electronic data (source is mainframe systems) processing platform for Citi Bank Ireland in Hadoop, which is responsible for performing insightful daily analyses of 60 Gb to 120 Gb of data.

Technologies Used:

• Big Data: Hadoop (MapReduce). Hive, Pig, Sqoop, and Apache Spark (Some POCs)
• ETL Tool: Talend
• Programming Language : Java
• Streaming: Kafka.
• Databases: DB2, Oracle.
• CICD: TeamCity

Implemented end-to-end big data platform to present healthcare unit online business, with the help of 3 junior data engineers.

Technologies Used:

• Big Data Framework: Hadoop
• File formats processed: XMLs, CSVs.
• Database: Oracle
• Programming Language : Java
• CICD: Jenkins
• Scheduling : AutoSys

Led development of a scalable data platform for South American toll plaza business for various cities, accommodating growing user demands without compromising on speed.

Technologies used:

• Programming Language: Java
• ETL Tool: Talend
• Database: MySQL, Oracle
• Shell Scripting.
• Scheduler : Autosys

Implemented an end-to-end ETL solution for the pricing module of the Europe car rental business.

• Technologies Used: Java, Talend (ETL), Oracle, Shell script.