Apr 2024 – Aug 2024 · 4 mos · Pune, Maharashtra

Sep 2021 – Mar 2024 · 2 yrs 6 mos

• Developing Oracle's Cloud Infrastructure.
• Team - Terraform OCI Provider Developer
• Enhanced and Added a feature sets to OCI provider which is currently supporting 14 million users to manage their infrastructure using a code.
• Designed and Developed end-to-end release process which cut down the release time from 12 Hrs to 2 Hrs.
• Responsible for Designing, Developing, Maintaining and Testing the OCI Provider.
• Worked on the automation of Code generator and Deployment process to have seamless experience for service team's to bring their changes on the terraform platform.
• Automation of internal development pipeline, that helped 70+ Oracle teams to onboard resources on terraform.
• Team - Crossplane
• Understanding the customer requirements, Worked on the POC and MVP.
• Bringing resources into crossplane using the Terra-jet.

Jul 2019 – Jul 2021 · 2 yrs · banglore

• Service - Payments
• Single Owner Responsibility of PPS Service, Which is an Orchestrating Service for Multiple Payment Instruments.
• Integrate Wallets, Payment Gateways, UPI to Myntra Platform.
• Maintain and Upgrade Myntra's In-house Payment Option Myntra-Credit)
• A part of Design and development team of Opened Ended Exchange program where user can able to exchange product with any other product. First e-commerce company to launch this feature in India.
• Upscaling the systems to handle high traffic of ~30K Payment Transaction Per Minute
• Upgrade System to achieve higher resiliency

May 2018 – Jul 2018 · 2 mos · Bengaluru, India

• Project Name: Dynamic Pricing
• The Dynamic pricing solution drives improved Insights and Forecasts by combining Social, News, Events and Weather data to create signals and predictive insights that enhance the understanding of demand forces when applied to products and consequently the effect on the pricing. Innovation Impact for Customer: Addition of Social, Events and Weather signals promises improved demand insights and forecasts to avoid any misses.
• The improved demand forecast model will help in improved determination of pricing in real time. Helps in increased sales, margin protection and improved promotion of retailers. Innovation Impact for IBM: Dynamic Pricing solution has a traditional pricing model that can be enriched adopting the forecast approach leveraging external factors as signals. Bring Cognitive footprint into the solution by leveraging APIs available from Watson to ingest data from external source such as Weather, Social, etc
• Language Used: Python
• Libraries: Pandas, SkiPy, Matplotlib, Scikit-learn
• Frameworks/Tools: Jupyter Notebook, SPSS Moduler

Jul 2016 – Jul 2017 · 1 yr

• Worked for BT (British Telecommunication) as a part of Flow Product Team.
• Responsible for Planning, development & maintenance of BT order placement application which is written in C++.
• I am also part of Component DBA(Oracle) team for flow.

Jun 2014 – Jun 2016 · 2 yrs

• Worked for BT (British Telecommunication) as a part of Flow Product Team.
• Responsible for Planning, development & maintenance of BT order placement application which is written in C++.
• I am also part of Component DBA(Oracle) team for flow.
• DBA Task Performed :
• Install the binaries. It can be either database binaries or client binaries.
• Design the database.
• Create the database. Open the database for uses/developers. Upgrade database..
• Create uses , Manage the users in database. It’s about the permissions to user.
• Backup the database frequently.
• Performance tuning. Using AWR report in case of oracle
• Database migration : Migrate database from one server to another. May be due to hardware issue , or server decommission.
• Database patching. To overcome bugs or for additional feature patching is required.
• Database upgrade. Upgrade the database to have new functionalities
• Character set migration. Move character set to new one. This helps to support more
• languages.
• Database securities.
• Storage & Capacity planning. It includes to keep track about sufficient space available for
• database to perform operations.
• Troubleshooting. : When thing goes wrong with database , dba has to identify the cause
• of issue using alert logs or trace logs.
• Recovery : Its a tough task. You have to perform recovery with minimum data loss.
• Client upgrade.
• Database housekeeping (manual + automated)