Sep 2023 – Jul 2024 · 10 mos · Mumbai, Maharashtra, India · On-site

• As a Tech Lead at Prodigal, I spearheaded the development and scaling of a robust data platform. Leveraging Airflow and Databricks, I architected and implemented efficient data ingestion pipelines for CSV and SQL backup sources. To streamline data management, I introduced medallion architecture and employed DBT for efficient data transformations, ensuring a single model per destination and near real-time updates from multiple sources.
• I fostered strong cross-functional collaboration to align data initiatives with broader business goals. By implementing agile methodologies, including sprint planning, retrospectives, and performance reviews, I successfully led the team in delivering high-quality data products. My experience in hiring and onboarding new engineers further strengthened the team's capabilities.

Sep 2022 – Jul 2023 · 10 mos · Bengaluru, Karnataka, India · On-site

• As a key contributor to PhonePe's payments platform, I was worked on handling the massive scale of 150 million daily UPI transactions.
• I focused on performance optimization and implemented caching mechanisms and improved business rule computations, significantly enhancing transaction processing latency and CPU usage.
• Recognizing the limitations of the MySQL database for storing transaction metadata, I executed a migration to Aerospike, resulting in a substantial cost reduction of $1 million annually.
• Beyond technical execution, I actively participated in architectural decision-making, code reviews, and sprint planning.

Aug 2020 – Sep 2022 · 2 yrs 1 mo

• Developed and managed a high-performance logging framework for a Microsoft email platform processing over 80 million emails daily, generating 2TB of log data. Optimized data extraction and consolidation pipelines to support downstream teams in deriving actionable insights. Collaborated closely with product and engineering teams to enhance email performance and user experience based on metrics such as time spent, link clicks, and card adoption. Led scrum and sprint planning, demonstrating strong technical and leadership skills.

Nov 2016 – Jul 2020 · 3 yrs 8 mos · Bengaluru Area, India

• I am part of the transportation team that takes care of auditing, payment and accounting for deliveries made by 3rd party carriers like DHL, FEDEX, USPS in the US and Europe.
• Our team works on developing systems handling the following responsibilities
• 1. Process Invoice sent by carriers converting them to entities that can be audited and paid
• 2. Maintain a repository of charges that can be audited and accounted for.
• 3. Interact with planning systems to get details about liabilities to be closed against invoices
• We operate on a scale of over 10 million invoice units on a daily basis with SLA ranging from few minutes to a couple of hours. I have been involved in leading a small team to scale the system to handle loads in excess of 50 million, connecting with services interested in invoice data, launching the service in additional geographies. Additional responsibilities include reducing the operational load, re-architecture of existing components, decprecation of old systems, migration to non-relational databases

Jan 2016 – Oct 2016 · 9 mos · Bengaluru Area, India

• Working on development of an enterprise software for upstream Oil and Gas Analytics. I am responsible for creating solutions for the following problems
• 1. Connecting to data warehouses like SQL Server, Hana, SSAS Cube
• 2. Collect and store the metadata information for all data sources
• 3. Provide a framework to model the metadata as per requirement
• 4. Create an index to allow searching and querying the data stores
• Technologies used
• Amazon EC2, Centos, Mysql, Spark, SQLAclchemy, Python, Docker, Jenkins, Git, Gulp, Celery, NLTK

Aug 2013 – Dec 2015 · 2 yrs 4 mos · India

• Working on Quantitative Analysis of Securities
• Developed a tool to store and search Resume for the HR department
• Involved in development of transport tool for routing cabs

Jul 2012 – Aug 2013 · 1 yr 1 mo · Bangalore

• Collaborated with Big Data Analytics team to analyse the applications of Machine Learning techniques in evaluating customer credit risk
• Worked on developing an algorithm for variable selection in logistic regression models.Used Java Map-Reduce programs that can run on Hadoop Distributed File System (HDFS) for implementation. Reduced time taken to compute models by 75%
• Took Course on Machine Learning offered by Professor Andrew NG on Coursera

May 2009 – Jul 2009 · 2 mos · Bangalore

• Created an SMS Gateway for a leading telecommunication company