Burhanuddin Bhopalwala Email & Phone Number

Dubai, United Arab Emirates

🚀 Senior Solution & Data Architect | Engg LeadershipReports to the CTO, leading teams across UAE, Egypt, Syria, and India. Influencing transforming the organization into a tech-first, AI-enabled leader in Revenue Cycle Management (RCM), Establishing Architecture, Data and AI, DBA, Development, Infra & QC teams aligning with strategic goals.Leadership in People, Process, and Projects:👉 People Leadership:Managing 10+ engineers with a focus on mentorship, 1-1s, team… Show more 🚀 Senior Solution & Data Architect | Engg LeadershipReports to the CTO, leading teams across UAE, Egypt, Syria, and India. Influencing transforming the organization into a tech-first, AI-enabled leader in Revenue Cycle Management (RCM), Establishing Architecture, Data and AI, DBA, Development, Infra & QC teams aligning with strategic goals.Leadership in People, Process, and Projects:👉 People Leadership:Managing 10+ engineers with a focus on mentorship, 1-1s, team building, and quarterly / yearly phenix evaluations. Ensuring collaboration and growth across architecture, Data and AI, DBA and Development, and Quality Control.👉 Process Transformation:Implemented agile scrum, hiring, handover, release management, and on-call processes. Automated workflows to streamline operations, enhancing efficiency and observability.👉 Key Project Contributions:Cloud Migration: Led migration to cloud, cutting costs by 40%, achieving 99.9% uptime, and managing multi-region deployments focused on security and scalability.Unified Gateway & UAE Eligibility Service: Designed a multi-region data platform, optimizing real-time and batch processing, and deployed the UAE eligibility service, streamlining patient data.Data & AI Initiatives: Driving MLAI initiatives in RCM processes, leading AI projects like Claims Rules Decision Tree-Based extraction & similarity to reduce claim rejections by 30%. Leveraging BERT models and LLM-based Gen AI models to optimize claim submission and lifecycle workflows.🚀 Mission: Driving the region’s largest tech-first unified RCM system, integrating AI and automation for innovation and operational excellence.🚀 Achievements:40% cost reduction.99.9% system uptime.30% reduction in claim rejections, reducing manual timelines by 15%.👉 Balancing product strategy, technology, and people management to drive scalable, efficient solutions aligned with business goals. Developing the region's first Tech and AI-enabled RCM software Show less

Dubai, United Arab Emirates

Contributor to the following use cases:👉 Big Data/Careem Insights Development – Led the development of Careem/Uber’s Big Data flagship platform, Careem Insights, using open-source technologies like Apache Superset, Apache Pinot, and Uber Collabs as cost-effective alternatives to Tableau👉 Big Data/Tableau Replacement – Designed an on-premise alternative to Tableau Extracts, mirroring AWS QuickSight SPICE, with a flash service for materialized views in Apache Pinot. Enabled… Show more Contributor to the following use cases:👉 Big Data/Careem Insights Development – Led the development of Careem/Uber’s Big Data flagship platform, Careem Insights, using open-source technologies like Apache Superset, Apache Pinot, and Uber Collabs as cost-effective alternatives to Tableau👉 Big Data/Tableau Replacement – Designed an on-premise alternative to Tableau Extracts, mirroring AWS QuickSight SPICE, with a flash service for materialized views in Apache Pinot. Enabled dynamic OLAP queries and optimized Superset for efficient data slicing👉 Big Data/Trino Cluster Optimization – Optimized Trino clusters for write-intensive workloads by fine-tuning memory, split, partition, and JVM settings. Streamlined batch loading of materialized views into Apache Pinot, improving overall system efficiency👉 Big Data Ingestion & Query Optimization – Enhanced real-time and batch data ingestion by integrating Kafka and Spark Jobs with Apache Pinot. Improved query performance with Star Tree, Bitmap, and Sorted Inverted indexes, ensuring faster data retrieval🚀 Cost Optimization & Value Addition – Delivered ~$180K USD annual savings by replacing licensing costs, mitigating a 10% YoY cost increase, and driving significant cost optimization for Careem Show less

Dubai, United Arab Emirates

👉 DevSecOps/Security & Migration (Presto to Trino) – Enhanced system security and performance by migrating to Trino and implementing an Auth firewall with SSL/TLS 1.3, improving MTTD and MTTR metrics while aligning with Careem’s data security standards👉 Big Data/Zero Downtime & Data Quality – Achieved zero downtime deployment by implementing Trino tests through Apache Airflow, enabling real-time system health monitoring and queue management alerts👉 Big DataOps & Kubernetes –… Show more 👉 DevSecOps/Security & Migration (Presto to Trino) – Enhanced system security and performance by migrating to Trino and implementing an Auth firewall with SSL/TLS 1.3, improving MTTD and MTTR metrics while aligning with Careem’s data security standards👉 Big Data/Zero Downtime & Data Quality – Achieved zero downtime deployment by implementing Trino tests through Apache Airflow, enabling real-time system health monitoring and queue management alerts👉 Big DataOps & Kubernetes – Deployed Big Data solutions using Kubernetes helm charts on AWS ECS & EKS, managing scaling policies, RBAC, and CI/CD pipelines. Optimized performance by dynamically scaling replicas based on real-time monitoring dashboards💠 Tech Stack:Big Data: Presto Gateway, Apache Presto, Trino, Airflow, Pinot, Superset, HiveCloud & DevOps: AWS ECR, EKS, EC2, Lambda, S3, EMR, CloudFormation, Jenkins, K8s & Helm Charts Show less

Bengaluru, Karnataka, India

👉 Engineering Leadership & Team Collaboration – Embraced Amazon leadership principles like bias for action and ownership, fostering trust and collaboration within the team. Delivered faster, more reliable data solutions through effective teamwork and strong leadership practices👉 Hiring & Team Growth – Contributed to hiring efforts by learning Amazon’s hiring principles and interview processes, increasing team throughput by 20% through active participation in interviews and managing… Show more 👉 Engineering Leadership & Team Collaboration – Embraced Amazon leadership principles like bias for action and ownership, fostering trust and collaboration within the team. Delivered faster, more reliable data solutions through effective teamwork and strong leadership practices👉 Hiring & Team Growth – Contributed to hiring efforts by learning Amazon’s hiring principles and interview processes, increasing team throughput by 20% through active participation in interviews and managing candidate feedback👉 Big Data/Device Solutions Optimization – Improved Amazon’s proprietary big data device solutions for Alexa, Kindle, and Dot. Reduced error counts by implementing reactive controls, improving service reliability for millions of users in just 2-3 weeks using AWS Big Data Stack (Kinesis, EMR, S3), Spark, and Scala Show less

Mumbai, Maharashtra, India

Responsibilities & Deliverables: 👉 Engineering Leadership/Building & Hiring DE Team – Built the Data & MLOps engineering team from scratch for Aramex. Led end-to-end candidate screening, tech round interviews, and pipeline management. Collaborated with Data Science (DS) team to frame interview questions, ensuring high-quality hires👉 Big Data/Mentoring DE/DS Team – Mentored a team of 7+ junior and senior engineers on ad-hoc analytics and data engineering tasks. Conducted… Show more Responsibilities & Deliverables: 👉 Engineering Leadership/Building & Hiring DE Team – Built the Data & MLOps engineering team from scratch for Aramex. Led end-to-end candidate screening, tech round interviews, and pipeline management. Collaborated with Data Science (DS) team to frame interview questions, ensuring high-quality hires👉 Big Data/Mentoring DE/DS Team – Mentored a team of 7+ junior and senior engineers on ad-hoc analytics and data engineering tasks. Conducted knowledge transfer sessions, guiding the team to obtain AWS/Cloud certifications. Reduced ML use case delivery time by 20% and costs by 15% through effective mentorship👉 Big Data/Seasonal Forecasting ETL & MLOps Pipeline – Developed and deployed an AWS Forecast pipeline using AWS RedShift, S3, SageMaker, Lambda, CloudFormation, and QuickSight, improving forecasting accuracy by 30%👉 Big Data/MLOps for Data Science Modules – Enabled production-readiness for DS modules with a test-driven approach (TDD) based on the Google Test Pyramid. Ensured low-latency, feedback loops, and seamless maintenance for DS use cases👉 Big Data/ETL Data Pipeline for Business Metrics – Implemented SQL data pipelines for calculating static and rolling business KPIs, using AWS RedShift, QuickSight, DynamoDB, Lambda, and SES, enhancing KPI tracking efficiency by 25%👉 DevOps – CI/CD – Supported CI/CD pipelines for ML use cases with AWS Developer Suite and AWS SAM, ensuring code quality with Flake8, AutoPep8, Bandit, and Safety dependency checks. Reduced deployment time by 40% Show less

Noida, Uttar Pradesh, India

Fareye is a major logistic firm focused on last-mile and long-haul deliveries. 👉 Engineering Leadership/Team Building – Led a team of 11+ engineers, introducing best software practices and improving team productivity by 30%. Set up coding tests and interview processes, supporting hiring and skill enhancement initiatives👉 Cloud Migration – Migrated on-premise data services to AWS, achieving 99.95% availability and fault tolerance, reducing operational costs by 20%👉 Big… Show more Fareye is a major logistic firm focused on last-mile and long-haul deliveries. 👉 Engineering Leadership/Team Building – Led a team of 11+ engineers, introducing best software practices and improving team productivity by 30%. Set up coding tests and interview processes, supporting hiring and skill enhancement initiatives👉 Cloud Migration – Migrated on-premise data services to AWS, achieving 99.95% availability and fault tolerance, reducing operational costs by 20%👉 Big Data/Real-time Streaming/ETL Pipeline – Built and maintained a near real-time ETL pipeline using Debezium (MySQL CDC) and Apache Kafka, processing GBs of last-mile logistics data per hour. Migrated to AWS DMS, improving data replication and reducing pipeline latency by 30%👉 Big Data/Real-time Streaming – Developed an AWS S3 Data Lake with AWS Kinesis and querying pipeline using AWS Glue and Athena, reducing late-arrival event debugging time by 40%. Enabled self-serve capabilities for support teams👉 Big Data/DBA Optimization – Optimized bulk DB inserts for vehicle data, improving processing speed by 50%. Used Redis-based in-memory file queues to streamline bulk data operations and partitioned data efficiently👉 ML & MLOps – Integrated ML models for high-accuracy ETA predictions, reducing latency by 25% in last-mile deliveries Show less

Noida, Uttar Pradesh, India

👉 Big Data/DBA Optimization – Automated CRON jobs using AWS Lambda, improving operational efficiency by 40%. Optimized RDS with vacuuming, reduced replica lag by 30%, and enhanced query performance, cutting execution time by 50%. Increased database uptime to 99.9% with monitoring via AWS CloudWatch, Grafana, and PagerDuty👉 Big Data/DBA Replication – Fine-tuned SQL and managed partition maintenance with AWS DMS and Lambda. Reduced monthly replication time by 35% and automated RDS… Show more 👉 Big Data/DBA Optimization – Automated CRON jobs using AWS Lambda, improving operational efficiency by 40%. Optimized RDS with vacuuming, reduced replica lag by 30%, and enhanced query performance, cutting execution time by 50%. Increased database uptime to 99.9% with monitoring via AWS CloudWatch, Grafana, and PagerDuty👉 Big Data/DBA Replication – Fine-tuned SQL and managed partition maintenance with AWS DMS and Lambda. Reduced monthly replication time by 35% and automated RDS staging for QA/UAT, improving environment setup efficiency by 25%👉 Big Data/Dashboarding & Visualization – Developed KPI dashboards via Elasticsearch with Debezium ETL, reducing data retrieval time by 40%. Implemented anomaly detection using Kibana ML, improving system health monitoring by 20%👉 Big Data/Dashboarding – Built an on-premise data warehouse using Apache Superset, enabling smart search and slicing of data. Increased data query speed by 30% with optimized data aggregation👉 ML & MLOps – Developed a dynamic ETA engine using DBSCAN clustering, reducing transit time prediction errors by 25%. Exposed the model via Node API and Docker for seamless integration👉 Big Data/ML & MLOps – Built a last-mile delivery prediction model using many-to-many RNN, improving delivery time estimates by 20% in near real-time👉 Backend Arc – Implemented OAuth2 for microservice authorization, enhancing security and reducing authorization processing time by 15%👉 DevOps (Observability & Orchestration) – Automated CI/CD with Travis CI, Docker, and Kubernetes, reducing deployment time by 50%. Set up monitoring with Grafana, increasing app uptime to 99.95% and scaling efficiency Show less

Jaipur, Rajasthan, India

Voylla Fashions (Amazon Subsidiary). Responsible for achieving backend sprint tasks, documenting code changes, peer reviews. SDE1 is also accountable for repairing Ad hoc failures, reducing defect rates, learning new techs, and always producing bug-free and quality code with actual work estimates provided. Key projects areas follow:👉 Big Data/Engineered the first-ever ETL pipeline for migrating order-related payments data to ELK stack; visualization tools boosted insight quality… Show more Voylla Fashions (Amazon Subsidiary). Responsible for achieving backend sprint tasks, documenting code changes, peer reviews. SDE1 is also accountable for repairing Ad hoc failures, reducing defect rates, learning new techs, and always producing bug-free and quality code with actual work estimates provided. Key projects areas follow:👉 Big Data/Engineered the first-ever ETL pipeline for migrating order-related payments data to ELK stack; visualization tools boosted insight quality, enabling informed decisions that drove higher success rates across promotional campaigns👉 Backend Dev/ Implemented comprehensive backend solutions for PAYTM, PAYU payment gateway integration, facilitating seamless transactions and achieving an uptime of 99.9% across all systems while enhancing user experience👉 Backend Dev/ETL Pipeline Key Order Functionalities Implementation and Maintenance: Order Tracking, Return, and Replacement Functionality, Order Pipeline Development & Maintenance for smooth Customer experience and delight👉 Backend Dev/Implemented a True-Asynchronous Write API that streamlined database commits to the ERP system via AWS SQS and Celery, achieving real-time order processing with zero data loss during transactions.👉 Backend Dev/Caching Related Functionalities Implementation: Happy hours & Admin Functionality + Building Automated Script to Purge the Cache at all the 3 Levels; Implemented Memcached for efficient caching at the application layer, enhancing response times by 40% and optimizing resource usage across services through strategic deployments of Varnish at the web layer Show less

India

#2017 | INCF National Node of Belgium#iRODS #ImageJ # iRODs JargonAPIs🎯 Project AbstractDeveloped an ImageJ plugin to streamline dataset uploads/downloads for iRODS clients via a simple GUI. Utilized Jargon Core APIs to implement the iRODS protocol, enabling the development of Java-based iRODS-enabled applications. This project simplified the integration of iRODS into mid-tier applications, desktop clients, and provided a solid foundation for future interfaces within the iRODS… Show more #2017 | INCF National Node of Belgium#iRODS #ImageJ # iRODs JargonAPIs🎯 Project AbstractDeveloped an ImageJ plugin to streamline dataset uploads/downloads for iRODS clients via a simple GUI. Utilized Jargon Core APIs to implement the iRODS protocol, enabling the development of Java-based iRODS-enabled applications. This project simplified the integration of iRODS into mid-tier applications, desktop clients, and provided a solid foundation for future interfaces within the iRODS ecosystem.#2016 | Rejected Proposal#Linux #CentOS #Networking #PXEBootAutomated Network Installation of Linux Server (Enhancing PXE Boot)🎯 Project AbstractProposed a faster and more efficient method for installing Linux servers using only a LAN network, eliminating the need for DVDs or bootable drives. This approach enhances the traditional PXE boot method, reducing installation time by leveraging network-based installation with Kickstart for unattended, automated setups. Suitable for data centers managing hundreds of Linux servers, this solution offers a cost-effective alternative with improved speed compared to CentOS’s standard PXE process. Show less

Extended 9 Months Graduate Programme By Iit Roorkee In Association With Cloudx Labs, Computer Science (Software Development & Data Engineering)

Duration July 2017-18 Specialization covered topics: Software Engineering (Agile & Practices) Cloud Computing & DevOps practices +.

Bachelor Of Technology - Btech, Computer Science, 3.7/4.0

Programming, Data Structures & Algorithms Databases, Graph Theory, Software SDLC (Agile) Data Mining, Machine Learning & Cloud Computing