# Arkesh Rath > Senior Software Engineer at Intuit Mailchimp Location: New York, New York, United States Profile: https://flows.cv/arkesh At Intuit Mailchimp, my role as a Senior Software Engineer revolves around crafting robust data pipelines and services, harnessing my expertise from a solid tenure at Microsoft. There, I developed end-to-end reporting services, optimizing data warehouse performance, and spearheaded a cost-effective cloud transition, saving the organization substantial resources. ## Work Experience ### Senior Software Engineer @ Intuit Mailchimp Jan 2024 – Present | New York, New York, United States - Creating data pipelines and services for Intuit’s customer data platform. ### Software Engineer II @ Microsoft Jan 2021 – Jan 2024 | New York, United States - Built end to end reporting service to extract information from data warehouse and generate reports for clients. Improved performance of these reports by building a query optimizer. - End to end migration from managed azure synapse to self managed clickhouse, including CI/CD deployment, monitoring and pipeline development. This ended up saving thousands of dollars for the organization. - Developed multiple data pipelines to faciliate collection of retail media advertising related metrics using ADF, pyspark and databricks. The data was then used for dash boarding, reporting and analytical purposes. ### Data Engineer II @ TeleTracking Jan 2021 – Jan 2021 | United States ### Graduate Teaching Assistant @ Carnegie Mellon University Jan 2020 – Jan 2020 | Pittsburgh, Pennsylvania, United States - Graduate teaching assistant for the big data and data science course. - Designed autograder for the course using python frameworks. Formulated assignments. projects and homeworks which take a deep dive into the world of big data and data science techniques. ### Student Consultant @ Pennsylvania Department of Labor & Industry Jan 2020 – Jan 2020 | Pittsburgh, Pennsylvania, United States - Developed a web application using Django framework and MySQL. Containerised the application and deployed it using docker. - Implemented multiple time series models such as Prophet and Sarimax and deployed them as micro-services. Used REST principles to enable communication between the web application and the machine learning models. ### Data Engineering Intern @ Komodo Jan 2020 – Jan 2020 | Pittsburgh, Pennsylvania, United States - Developed a data pipeline using serverless technologies like AWS S3 and Lambda, gathering data from various sources such as Census API, municipality websites and public health data, improving speed of data retrieval by about 90%. - Correlated the data using fuzzy matching. Built front-end dashboard using flask to give a consolidated view of US counties and the respective securities they offer. This sped up the decision making process of municipal analysts by about 60%. ### Graduate Teaching Assistant @ Carnegie Mellon University - Heinz College of Information Systems and Public Policy Jan 2020 – Jan 2020 | Pittsburgh Teaching Assistant for the Data Focused Python Course. ### Big Data Engineer @ Amadeus Labs Jan 2016 – Jan 2019 | Bangalore • Achieved a rate of 500 transactions per second using Spark, Scala and Kafka to build a production grade ETL platform in an HDFS environment. • Boosted performance by about 30% by migrating from a spark-based architecture to a microservices based architecture. • Automated the data warehouse deduplication process which helped speed up final stage of the data pipeline, reducing waiting time for the customer to receive the data warehouse feed by about 5 minutes per XML file. • Created multiple utilities in python to scrap data from Jenkins and create performance dashboards – used to keep track of the status of the platform. These helped identifying faulty nodes in real time and reduced maintenance backlog by 50%. • Collaborated with the platform maintenance team which included regular interactions with clients to plan and execute adhoc features. • Led a team of interns to build a logistic regression model to detect flight cancellation patterns. ### Software Engineering Intern @ Amadeus Labs Jan 2016 – Jan 2016 Re-developed ETL modules using multiple NoSql databases (Cassandra, MongoDB) to find the optimal database to be used for the platform. Some of the modules re-developed are in use today in production. • Technologies Used: Scala, MongoDB, Cassandra, Spark. ### Intern @ Oracle India Pvt. Ltd Jan 2014 – Jan 2014 • Developed a parser for the Oracle Banking Platform converting simple grammatical statements into MySQL queries. • Technologies Used: Java, MySQL ## Education ### Masters in Information Systems Management - Business Intelligence and Data Analytics in Data Science Carnegie Mellon University Jan 2019 – Jan 2020 ### Bachelor's Degree in Computer Science Manipal Institute of Technology Jan 2012 – Jan 2016 ### Bharatiya Vidya Bhavans public school Hyderabad Jan 2007 – Jan 2010 ## Contact & Social - LinkedIn: https://linkedin.com/in/arkesh-rath --- Source: https://flows.cv/arkesh JSON Resume: https://flows.cv/arkesh/resume.json Last updated: 2026-03-20