B

Brij kishore Pandey

DevOps Engineer

Parsippany, New Jersey, United States16 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 15+ years of experience in AI and engineering.
  • Expert in building scalable, intelligent systems.
  • Proven track record in mentoring and leadership.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in AI and Data Engineering.

Contact

Skills

Core Skills

Ai & MlCloud & PlatformsDevops & ArchitectureData EngineeringMentorshipFull Stack DevelopmentSoftware Development

Other Skills

AWSAirflowAmazon Web Services (AWS)Apache KafkaApache SparkApache Spark StreamingArtificial Intelligence (AI)Azure DatabricksBig DataCeleryComputer ScienceData ScienceDatabasesDeep LearningDevOps

About

All views are strictly my own. I do not speak on behalf of my employer. I focus on publicly available knowledge, frameworks, and trends that help advance the developer and AI community. I am an AI Architect and Principal Engineer with 15+ years of experience building scalable, intelligent systems using Python, Go, Cloud platforms, Databricks, and AI. At ADP, I lead the design and development of cloud-native, microservices-based applications and AI-driven platforms. I architect end-to-end solutions combining ETL pipelines, LLMs, and real-time analytics, collaborating cross-functionally with product, SRE, and security teams to deliver business-critical innovations. As an AI strategist, author, and technology mentor, I specialize in applying Large Language Models, MLOps, and modern AI architectures to solve real-world problems. I’m passionate about creating value through intelligent automation, empowering teams, and driving enterprise transformation with AI. Core Skills & Expertise AI & ML Generative AI, LLMs, LangChain, LangGraph, LlamaIndex, MLOps, AI-driven Analytics, MLflow, TensorFlow Cloud & Platforms AWS (Lambda, ECS, ElastiCache, DynamoDB, API Gateway), Azure, GCP, Databricks Programming & Frameworks Python, Go, JavaScript | Django, Flask, FastAPI Data Engineering Airflow, Spark, Pandas, NumPy | ETL/ELT Pipeline Architecture Databases RDBMS, NoSQL, GraphDB, Vector DBs DevOps & Architecture Microservices, Docker, CI/CD, API-first Architecture Leadership AI Strategy, Team Mentorship, Cross-functional Collaboration, Technical Roadmapping Tools GitLab, Bitbucket, Jira, Copilot, Postman, Splunk

Experience

16 yrs 10 mos
Total Experience
3 yrs 6 mos
Average Tenure
6 yrs 6 mos
Current Experience

Packt

Technical Author

Jan 2022May 2022 · 4 mos · Remote

  • Authored the groundbreaking technical book "Building ETL Pipelines with Python," filling a critical gap in the data engineering literature.
  • Authored pioneering technical book on production-grade ETL pipelines using Python, addressing a critical gap in data engineering literature
  • Focused on scalable architectures for petabyte-level data processing, bridging academic theory and industry practices
  • Provided comprehensive, hands-on guide with advanced ETL topics, real-world applications, and practical case studies
  • Empowered data professionals with actionable insights for enterprise-level data infrastructures
  • Established new benchmark in practical, industry-oriented literature for Python-based ETL solutions
REST APISQLSoftware DevelopmentETLGithubPython+7

Mentorcruise

Peer Mentor

Dec 2021Apr 2022 · 4 mos

  • Served as a dedicated mentor, empowering aspiring tech professionals to navigate their career paths and develop crucial skills in the rapidly evolving tech landscape.
  • Key Responsibilities:
  • Provided one-on-one guidance to mentees transitioning into or advancing within the tech industry
  • Shared expert knowledge in Python, Cloud technologies, and Go programming language
  • Offered personalized career advice, including resume reviews, interview preparation, and job search strategies
  • Impact:
  • Contributed to the growth of the tech community by nurturing new talent and promoting best practices
  • Fostered a supportive learning environment, encouraging mentees to overcome challenges and pursue continuous improvement
  • Strengthened personal leadership and communication skills through diverse mentoring experiences
REST APISQLSoftware DevelopmentGoMongoDBETL+8

Adp

Principal Engineer

Dec 2019Present · 6 yrs 6 mos · Parsippany, New Jersey

  • ↳ Designed a Hybrid RAG system combining vector search and keyword-boosted retrieval, increasing knowledge discovery accuracy by over 60%
  • ↳ Led prompt engineering, Fine-tuning, and backend integration for production-grade GenAI services
  • ↳ Optimized Python-based data processing pipelines, boosting throughput by 45% and enabling real-time analytics
  • ↳ Reduced infrastructure costs and system downtime through cloud-native engineering using AWS Lambda, Fargate, and SQS
  • ↳ Embedded explainability, bias detection, and privacy-aware design into AI services to ensure responsible AI practices
  • ↳ Built end-to-end MLOps pipelines and CICD workflows to enable rapid iteration and secure deployment
  • ↳ Hands-on coding, writing infrastructure-as-code, and mentoring engineering teams on LLMOps and agentic system design
  • ↳ Collaborated across cross-functional teams to align AI innovation with enterprise goals and operational reliability
Team LeadershipREST APILangChainGenerative AISQLSoftware Development+27

Cgi

2 roles

Data Engineer

May 2017Dec 2019 · 2 yrs 7 mos · Hartford, Connecticut Area

  • Led complex software development projects, focusing on cloud-based solutions and microservices architecture.
  • Key Achievements:
  • Spearheaded the migration of monolithic applications to microservice-based architecture using AWS, Python, Go, and Flask, significantly improving system scalability and maintainability
  • Developed and implemented production-grade Proof of Concepts (POCs) for innovative solutions
  • Designed and built high-performance, scalable RESTful APIs using Python (Flask) and AWS API Gateway, enhancing enterprise application capabilities
  • Orchestrated efficient data pipelines leveraging AirFlow, Dask, Pandas, and Numpy for large-scale data processing
ManagementREST APISQLSoftware DevelopmentGoMongoDB+13

Python Data Engineer at Cigna

Sep 2016Apr 2017 · 7 mos · Hartford, Connecticut Area

  • Pioneered data processing and ETL solutions, focusing on big data technologies and cloud-based data services.
  • Key Achievements:
  • Architected and implemented a sophisticated data pipeline using Airflow, Kafka, and Python, capable of processing billions of records with limited computational resources
  • Developed a persistent Data as a Service (DaaS) system, ensuring 24/7 data availability for users and critical business operations
  • Optimized data processing workflows, significantly reducing processing time and resource utilization
  • Technical Contributions:
  • Leveraged advanced technologies including PySpark, Kafka, and Elasticsearch for efficient big data processing
  • Implemented microservices architecture using Go, RPC, AMQP, and Nameko, enhancing system modularity and scalability
  • Utilized containerization and orchestration technologies like Docker and Kubernetes for streamlined deployment and management
  • Employed cloud technologies including AWS Lambda, ECS, Elasticache, DynamoDB, and API Gateway to build robust, scalable data solutions
REST APISQLSoftware DevelopmentGoETLArtificial Intelligence (AI)+9

Cognizant

3 roles

Full Stack Engineer (Python) at Alaska Airlines

Jan 2016Aug 2016 · 7 mos

  • Key Contributions:
  • Architected and developed a distributed, robust Crew Management System using Python, Django, and RabbitMQ
  • Implemented real-time data processing and visualization, enhancing decision-making capabilities for administrators
  • Designed efficient data pipelines and analytics workflows using Pandas, Numpy, and Matplotlib
  • Optimized database operations through complex SQL queries and stored procedures
  • Developed full-stack solutions, integrating Python backend with JavaScript frontend
SQLSoftware DevelopmentLinuxDjangoGithubPython+3

Senior Python Developer at JPMorgan Chase & Co.

Apr 2012Jan 2016 · 3 yrs 9 mos

  • Led development of IVoRI (Independent Valuation Reporting Infrastructure), a strategic reporting application, using Python, WxPython, and Flask
  • Engineered efficient data pipelines and migrated complex ETL processes from Informatica to Python (Pandas), significantly improving system performance
  • Implemented Test-Driven Development (TDD) practices and enhanced unit test coverage, elevating overall code quality
  • Collaborated with cross-functional teams and clients to deliver mission-critical financial applications, troubleshoot issues, and implement enhancements
  • Technologies: Python, WxPython, Flask, Pandas, SQL (Sybase), NoSQL, Groovy, JavaScript, Shell Scripting
SQLETLLinuxGithubPythonWeb Services+2

Backend Engineer at Amex

Jun 2009Apr 2012 · 2 yrs 10 mos

  • Led development of the Amex Personalization Utility, a strategic project transforming product and service marketing to clients, using Java and Python
  • Engineered automated solutions for data-related tasks and content management, saving 80 man-hours per week and streamlining seasonal card offer updates
  • Developed Employee Roster Management system for 3M Company as a full-stack developer, utilizing Java, JavaScript, Spring, HTML, and CSS
  • Implemented code coverage tasks and monitored thousands of lines of code to ensure robust software operations
  • Cultivated strong client relationships, maintaining open communication channels for frequent interaction and progressive status updates
SQLGithubUnixSoftware Development

Education

SRM IST Chennai

Bachelor of Technology (B.Tech.) — Electrical and Electronics Engineering

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