Lakshmi Sujatha
Lead Python Developer
************@*****.***
Professional Summary
Lead Python Developer with 10+ years of experience building scalable backend systems, distributed services, and cloudnative applications. Strong expertise in Python, Django, Flask, AWS, microservices, and data engineering. Proven success at Amazon modernizing legacy systems, reducing operational costs by 50%, and delivering highimpact forecasting and automation platforms. Adept at mentoring engineers, driving technical strategy, and collaborating with crossfunctional teams including applied scientists and data engineers.
Technical Skills
Languages: Python, Java, C, C++
Frameworks: Django, Flask, FastAPI, Celery
Cloud: AWS (EC2, S3, Lambda, CloudWatch, Auto Scaling), VMware Cloud
Databases: MySQL, PostgreSQL, MongoDB, Cassandra, Oracle BRM
Tools: Docker, Jenkins, Git, RabbitMQ, Kafka, Spark
Data Engineering: ETL pipelines, forecasting systems, data modeling
Other: REST APIs, microservices, distributed systems, Linux, Agile/Scrum
Professional Experience
Amazon – Sunnyvale, CA
Lead Python Developer
Jul 2020 – Present
Led development of largescale backend systems and forecasting platforms using Python, AWS, and distributed microservices for Amazon SDO (Stores, Devices & Other).
Modernized multiple legacy systems by redesigning them into scalable Pythonbased services, reducing operational costs by 50% and eliminating 30+ outdated pipelines.
Built and maintained highperformance services for resource forecasting, scaling, and automation, integrating Python, AWS Lambda, EC2, S3, CloudWatch, and internal ML platforms.
Collaborated closely with applied scientists to productionize machine learning models using Python, improving AWS resource efficiency across SDO services.
Consolidated two Tier1 services and backend databases with zero downtime, improving system reliability and performance.
Designed automation frameworks in Python to streamline ticket handling, data processing, and operational workflows.
Mentored engineers on Python best practices, system design, and code quality, resulting in multiple team promotions and improved engineering efficiency.
Established a new forecasting engineering team and drove crossteam alignment to reduce redundant efforts during peak events.
VMware – Palo Alto, CA
Staff Engineer (Python/Cloud)
Feb 2017 – Apr 2020
Developed lifecycle management system for VMware Cloud Foundation using Python and automation frameworks.
Built automated bundle management and version control systems to streamline cloud software releases.
Designed backend services integrating vSphere, vSAN, and NSX using Python and REST APIs.
Cisco – San Jose, CA
Lead Engineer (Python/Backend)
April 2016 – Feb 2017
Architected realtime security insights platform using Python, Django, Celery, RabbitMQ, and Elasticsearch.
Integrated multiple data sources to deliver highaccuracy security analytics.
Built scalable backend pipelines enabling instant access to security data for enterprise teams.
Rackspace – San Antonio, TX
Lead Engineer (Python/Automation)
Nov 2014 – April 2016
Developed Pythonbased billing management system integrated with Oracle BRM.
Built automated validation framework using Python to streamline financial workflows.
Designed backend integrations between customerfacing services and BRM systems.
Qualcomm – Hyderabad, India
Senior Engineer (Python/Systems)
July 2008 – Oct 2014
Developed and integrated Pythonbased tools for debugging, testing, and automation across multiple device product lines.
Collaborated with crossfunctional teams to ensure timely software releases and improve product reliability.
Cisco – Bangalore, India
Software Engineer
July 2006 – July 2008
Contributed to backend development and system integration using Python and C/C++.
Supported multiple product lines through automation and tooling.
Education
Indian Institute of Technology (IIT) Madras
Master’s in Computer Science & Engineering
Awards & Publications
Upendra Patel Achievement Award – Qualcomm
“A Novel Burst Assembly Algorithm for Optical Burst Switched Networks based on Learning Automata,” ONDM 2007
“Performance Evaluation of HighSpeed TCP over Optical Burst Switching Networks,” IEEE HPSR 2005
Certifications
AWS Certified Solutions Architect – 2024
Machine Learning Specialization – Stanford Online, 2025