Jul 2022 – Oct 2025 · 3 yrs 3 mos · Bengaluru, Karnataka, India · On-site

• Provided technical guidance through code reviews, coding standards, and performance optimization, improving code quality and reducing defects.
• Led and mentored a team of software engineers, breaking projects into deliverables, ensuring timely execution, and fostering professional growth.
• Partnered with cross-functional teams (Product, QA, DevOps, Design) to deliver high-impact features
• seamlessly.
• Designed and delivered a secure REST API with payload encryption/decryption, ensuring 100% compliance with security standards.
• Led backend development for Axis Neo Banking, delivering end-to-end solutions and enhancing system performance by 30%.
• Lead and Build scalable data pipelines with PySpark, Kafka, Airflow, Python, AWS S3, Lambda and Glue to process transactional and user activity data, reducing processing time by 40%.

Sep 2020 – Jul 2022 · 1 yr 10 mos · Noida, Uttar Pradesh, India · Hybrid

• Configured Airflow on a multi-node server in worker mode, designed a customized Flask UI, and implemented ETL pipelines using DAGs.
• Processed large datasets from S3, APIs, and FTP using Python, Pandas, and NumPy with multi-threading for efficiency.
• Conducted POCs on SQL queries for OHLC and trade operations on DolphinDB, BigQuery, and Spark,
• leveraging Apache Hudi and DataFrames.
• Led a trade data project, aggregating and converting data from multiple sources into required formats.
• Scraped patent websites using Scrapy, mapped data to tickers, and stored in compressed gzip format.
• Implemented Slack Bot APIs to provide on-demand access to library functions and key trading insights like top gainers and losers, increasing data access efficiency for the team by 30%.
• Built and maintained data processing solutions using GCP Functions, Data Catalog, and Cloud Storage, reducing infrastructure costs by 20% through optimized resource allocation.
• Loaded petabytes of trade data into BigQuery, developing optimized aggregation queries and stored procedures that improved data retrieval times by 30% for reporting and business intelligence.

Jun 2019 – Sep 2020 · 1 yr 3 mos · New Delhi Area, India · On-site

• Developed and optimized ad server technologies that efficiently handle a high volume of requests and responses, resulting in a 30% reduction in average request latency.
• Created automated Python services to generate, process, and load data into MySQL and Redis for
• optimized storage and retrieval.
• Worked on video ad rendering, integrating advertisements into video players using PHP, JavaScript, and developed APIs to track performance and handle AJAX calls.
• Built XML feed APIs using PHP to display ads from Redis, implement backend processes with cron jobs, and stored ads in Sphinx DB for efficient searching, caching results in Redis for faster API responses.
• Developed pipelines to process ads data from multiple sources and store the results in MySQL and Cassandra using Python and Pandas.

Dec 2018 – Jun 2019 · 6 mos · Pune Area, India · On-site

• Designed and implemented APIs and web services, defining the architecture for seamless integration.
• Optimized backend services to enhance process efficiency and speed.
• Managed team workflows and tasks using Jira, ensuring smooth project execution.
• Debugged and resolved issues, improving system stability and performance.
• Collaborate with cross-functional teams (product managers, designers, QA, DevOps) for smooth execution.

Mar 2016 – Dec 2018 · 2 yrs 9 mos · Gurgaon, India · On-site

• Lead and Developed an ETL process using Airflow and Python to handle 80 million records per day, inserting data into MySQL, Elasticsearch, BigQuery, AWS S3. Utilized NumPy and Pandas for data cleaning and aggregation before processing.
• Managed and optimized an ad server platform on HasOffers (Tune), supporting real-time creation, modification, and pausing of ads. Implemented a robust queuing system to reliably process over 100,000 ads every 2 minutes ingested from global advertisers' APIs, resulting in a 80% improvement in ad ingestion success rate and ensuring data consistency.
• Built high-availability APIs to serve 80 million ad requests daily, implementing a multi-layer caching system with Memcache and Redis, distributing requests using PHP, Gearman, and optimizing ad selection algorithms with MongoDB and MySQL.
• Developed a DMP (Data Management Platform) using Python to collect user ad request data, enrich user
• profiles with external sources and APIs, and store the data in MongoDB for enhanced targeting.
• Implemented a text classification system to categorize ads as incentive or non-incentive using NLTK, Python and MySQL.
• Designed algorithms for ad serving based on user behavior and historical data, generating ad performance scores to optimize ad delivery and prioritize responses for targeted users.
• Engineered a scalable data pipeline leveraging BigQuery to ingest user click and conversion data into
• Google Cloud Function and Cloud Storage. Optimized the process by designing efficient structured data
• buckets and creating aggregation queries for analytics, resulting in a 30% improvement in data processing speed and faster time-to-insight for reporting.

Dec 2013 – Feb 2016 · 2 yrs 2 mos · Gurgaon, India

• Scraped data using Scrapy in Python on a Linux server, extracting information from various websites to generate sitemap files for clients and workers. Implemented a master-slave architecture to enable scalable and parallel requests for website users.
• Developed a dashboard to render API data and generate charts for data visualization.
• Implemented PDF generation using dashboard HTML data, enabling seamless report creation.
• Built a customized CRM to track client usage details of dashboard pages, generate performance scores for managers, and provide a reporting system for CSV data downloads.
• Designed and developed REST APIs to enhance system functionality and integration.
• Contributed to the development of RankWatch, a rank-tracking tool, by designing and implementing backend processes and APIs for key functionalities such as rank tracking, competitor analysis, website analysis, and citation viewing.

Jun 2012 – Jun 2013 · 1 yr · Ghaziabad · On-site

• Developed and maintained Nagarpalika government websites to display information and manage user data entry into the database.
• Integrated payment gateways including CC Avenue and HDFC Bank for secure transactions.