Mikhil Dinesh Vartak

Client :AT&T

Role: Developer,Tech lead

Project :Streaming data platform (Azure migration)

• Technologies: Azure platform, databricks ,Delta table ,Apache Kafka
• Guided team for designing and implementing cloud-based data architecture, optimizing performance, and ensuring data integrity
• Spark jobs are created in databricks to load daily incremental data in delta tables
• Data loading , extraction & transformation is done using Medallion architecture
• Implemented REST API to invoke databricks spark jobs
• Conducted thorough testing of the new environment to ensure that everything was working as expected and optimized the configuration for performance, cost and reliability

Project : Streaming data platform (On premise)

• Technologies: Spark-sql , Spark -Scala , Hadoop cluster , shell scripts, python , Airflow , Kafka -flume

• Summary :
• The purpose of SDP project is to process compensation related data of AT&T dealers & distributors
• Payment is generated based on reports provided by SDP
• Designed and implemented real time incremental data pipeline to process streaming high volume(~4 million records per hour) json data from 14 different Kafka topics using Apache-Flume and Spark-Scala
• Automated ELT (Extraction-loading-transformation) process using Airflow
• Moved services to docker -container for high availability (99% uptime).

• Project : MI issuing
• Client : MasterCard
• Team size : 8 (Agile team)

• Project : EPOC: Enterprise Platform for Online Commerce
• Team size : 35
• EPOC is a transaction processing software product developed by Fiserv
• EPOC host interface application communicates with hosts, processors and networks using various electronic fund transfer message formats including ISO-8583
• EPOC handles transactions for ATM, POS, Mobile payments and Internet
• Spark-Scala based process is developed to create monthly reports based on daily transactions .

• Project : MAGNUS Payment Switch (High performance credit/debit transaction management system)
• Technologies: C++,Unix, SQL
• Db2, Sybase, multithreading
• Summary :
• MAGNUS is EFT (Electronic Fund transfer) acquiring & issuing switch for Point of sale terminals and IPG (Internet Payment Gateway) transactions
• TCP-IP sockets, UNIX message queues, signaling mechanisms have been used to process multiple transaction requests simultaneously
• It is used to acquire, authenticate, route, switch, and authorize financial transactions across multiple channels
• Accepts cards of all major associations which include Visa, MasterCard, American express, Rupay

BO Server :

• Team size :20
• Summary :
• This application is dialog-based application
• It's designed to run the various back-office processes
• Developed using TCP/IP client - server architecture
• The BO Server which is the Back Office Server Application, and it is responsible for all the activities and processing to be done.