Developed SnapMirror FlexGroup scale feature to support backup and restore of snapshots, files to/from the cloud. Feature developed for both on-prem and hybrid-cloud. Product development includes C++ and Python.

Designed and implemented Pub/Sub messaging feature into SnapMirror to use push

notifications replacing polling for SnapMirror operations significantly reducing number of

requests by 80% and processing overheads by 30%. Feature developed for both on-prem and hybrid-cloud. Development in C++, Python.

Worked on the design and development of SnapMirror feature in the control-path to

coordinate with FlexCache volumes. Development in C++.

Worked on a SnapMirror to Cloud feature to transfer catalog information to cloud.

Feature developed for both on-prem and hybrid-cloud. Development in Python.

Developed Regression Test Suite Automation in Python which is a pre-check-in control

for the delivery team.

Designed, implemented, and tested features for SnapMirror application following clean

code principles and design patterns.

Designed features in SnapMirror to enable automated failover to secondary clusters for

disaster recovery minimizing downtime and data loss.

Developed RESTful APIs using Python's FastAPI framework to enable new features for

customers.

Implemented HTTP methods (GET, POST, PUT, DELETE) and routing for seamless

data management.

Customers utilized these APIs to integrate their applications with SnapMirror for data

operations.

Developed several custom APIs using Python for internal and external customers to

connect with SnapMirror Publish/Subscribe systems.

Implemented CI/CD pipelines for automated deployment of Python projects on the

Azure cloud platform.

Mentored a team of software engineers on code review, best practices and standards.

Worked on a multinational Retail client project where I was tasked to deliver on three sub-

projects simultaneously.

• Sub-Project#1: Key KPI Reporting using Oracle and SQL

o Worked closely with stakeholders to identify key metrics such as sales trends,

regional performance and customer preferences. Developed SQL queries to

extract key metrics into Analytical tools such as Power BI and other internal BI

solutions.

o Responsible for the design and development of Data mining queries to analyze

client’s sales data and generate statistics reports accordingly.

• Sub-Project#2: IT Ops Monitoring Tool.

o Developed Monitoring Utility using Java Applet API for error monitoring, logging

and generating alerts for IT Operation Support to quickly troubleshoot and

resolve issues.

o Developed enhancement features to resolve application issues efficiently.

• Sub-Project#3: Improve Database Query Performance.

o Performed Data Aggregation and created relevant logical views for improving

execution efficiency.

o Performed functional testing, query optimization using EXPLAIN PLAN.

o Used SQL developer tool to execute and test queries

o Enhanced and re-wrote slow running queries, identifying and adding indexes

where necessary.