Rahul Yadav

Led the design and implementation of technical initiatives, aligning with business objectives and ML/AI advancements, achieving a ~40% improvement in system efficiency and accelerating innovation.

Mentored leads and senior engineers on secure software development best practices, fostering technical excellence and continuous learning, resulting in a ~35% reduction in security vulnerabilities.

Collaborated with IT and business stakeholders to optimize application and product performance, proactively addressing technical risks and enhancing system reliability, reducing operational costs by ~50% through improved system efficiency and cloud adoption.

Skills & Tech Stack: Design Patterns, Data Structure & Algorithms, Distributed Computing, C4 Model, API Architecture & Microservices Architecture, Cloud-Native & Serverless Apps, Asset Management, Python, Amazon Web Services, ADO, GitHub Actions, etc.

Developed an end-to-end data solution for an Institutional Client using AWS Serverless services, achieving 84% faster execution and 38% cost reduction on AWS.

Stabilized integration modules by reducing security vulnerabilities and building production-ready applications.

Designed and implemented a modular, reusable library for AWS Serverless Compute Services, optimizing for improved memory consumption and overcoming concurrency challenges.

Led migration of legacy systems to cloud-based infrastructure, reducing processing time by 80% and improving system performance by 60%.

Championed best practices in code development, testing, and cloud architecture, driving a 25% boost in team productivity and upskilling.

Tech Stack: Python, PySpark, AWS CDK, AWS Serverless (Lambda, Glue, Step Functions, Kinesis, Amplify, Cognito, CloudFront, API Gateway, DynamoDB, Aroura Serverless V1 & Global Cluster, ADO, GitHub Actions, etc.

Designed and implemented end-to-end data solution for Institutional Client, utilizing AWS Serverless services to deliver 400+ client reports, resulting in $14bn AUM increase and enhancing scalability, report generation, and data security.

Led a team of 9 engineers across India and the USA, collaborating with Product Owners and Architects to translate stakeholders' requirements and draft Integrations and System Design.

Revamped source data consumption pipeline by integrating Lambda, API Gateway, Step Functions, S3, DynamoDB, and CloudWatch, achieving 84% faster execution time and 38% reduction in AWS billing per run.

Tech Stack: Python, PySpark, AWS CDK, AWS Serverless (Lambda, Glue, Step Functions, Kinesis, Amplify, Cognito, CloudFront, API Gateway, DynamoDB, Aroura Serverless V1 & Global Cluster, ADO, GitHub Actions, etc.

Spearheaded a development team of 5 developers, to build 2 digital marketing systems using Django, ReactJS, and Elasticsearch, resulting in improved website performance and user engagement.

Gathered data from various platforms to build analytics interfaces, tracked web footprints, and optimized marketing strategies.

Managed Google Cloud infrastructure for hosting static files, enhancing data accessibility for a Learning Management System.

Tech Stack:Google AdWords, Google Analytics, Facebook Ads, Python, Django, ReactJS, Postgres, Angular, PHP, CodeIgniter, Laravel, MySQL, Elasticsearch, Docker. AWS (S3, RedShift, EC2, RDS).

Built an in-house digital marketing tool & data repository system to manage and gather fine insights about marketing activities and digital campaign data from various platforms like Web Apps, Google AdWords/Analytics APIs, Facebook Ads APIs, LinkedIn Ads APIs, etc

Worked on adding new features, revamping old code, fixing bugs, and cloud migration strategies to make legacy applications more stable and scalable which were built using Rails, ReactJS, CI & Laravel.

Tech Stack: Python, Django, ReactJS, Postgres, Angular, PHP, CodeIgniter, Laravel, MySQL, Elasticsearch, Docker. AWS (S3, RedShift, EC2, RDS).

Build serverless data pipeline framework to perform analytics and reporting using AWS serverless technologies to support customer loyalty programs and lead conversion metrics.

Dockerized and optimized a legacy e-commerce application to support smooth development and deployment process.

Learned technology stack and software development by working alongside with new projects and support projects (frontend, backend, git, APIs, etc.

Tech Stack: Python, Django, ReactJS, Postgres, Celery, Redis, Elasticsearch, Docker, Ruby, Rails, Solidus, AWS (Lambda, Glue, Step Functions, Kinesis, DynamoDB) & PySpark.

Proactively monitoring web services, host, server and infrastructure using various tools. Handling inbound/outbound calls and providing quick resolutions post analysis within the scope of work. Confer with various team to resolve issues as the first point of contact for customers during outages.

Trained junior team members, peers and guided/administered junior members of the team on process. Documented all issues and generated reports detailing about common issue in Knowledge Base. Conducted sprints/daily stand up meetings to ensure smooth functioning of the project across various teams.

Robustly trained on various Infrastructure Management & Technical Service (IMTS) and ITIL practices. Prepared course materials and modules for peer teaching. Followed best ITIL practices.