Shahrukh Khan — Product Manager

Solutions Architect specializing in real-time streaming and event-driven architecture - Kafka, Flink, ksqlDB, and BigData platforms. - Built and delivered data systems for Fortune 100 clients across E-commerce, Retail, Finance, and Supply Chain in AMER, EMEA, and APAC, handling tens of millions of events daily and managing platforms with thousands of nodes and petabytes of data. - Moved critical systems from overnight batch to sub-minute latency while meeting audit and compliance requirements. - Work spans cloud-native microservices on AWS, GCP , and Azure - translating business needs into scalable, cost-optimized architectures through discovery, POCs, and repeatable frameworks. - Comfortable leading workshops with C-level stakeholders and building pipelines leveraging AI/LLM tools to accelerate delivery and improve technical delivery and documentation. == Skills and Tools == Architectural Focus: Event-driven architecture, real-time streaming, multi-region replication, data lakehouse patterns - Cloud & Infrastructure: AWS (Lambda, ECS/EKS, S3, DynamoDB, IAM, EventBridge), GCP (Dataflow, BigQuery), Azure; Kubernetes, Terraform, Ansible; experience designing for autoscaling, high availability, and cost optimization - Data & Streaming: Kafka, Confluent Platform, Flink, ksqlDB, Spark, Hive, Snowflake, Databricks; building low-latency pipelines and streaming backbones for operational analytics - Backend & APIs: Node.js/NestJS, Python/Flask/FastAPI, PostgreSQL, DynamoDB; domain-driven microservices integrated with streaming platforms - DevOps & SRE: CI/CD (GitHub Actions, Jenkins), Docker, Prometheus, Grafana, ELK; observability, incident response, performance tuning - AI & LLM: GPT-4, Claude, OpenRouter, Ollama; orchestration with Sim.ai, n8n, LangGraph; vector databases (Qdrant); LLM-assisted development and workflow automation - Fintech: Zerodha/Binance APIs, Pine Script, event-driven trading alerts

Stackforce AI infers this person is a Fintech and Data Engineering expert specializing in cloud architecture and real-time data solutions.

Location: Mumbai, Maharashtra, India

Experience: 12 yrs

Skills

Event-driven Architecture
Real-time Streaming
Data Engineering
Cloud Architecture
Big Data Architecture
Streaming Solutions
Devops
Research And Development

Career Highlights

Expert in real-time streaming and event-driven architecture.
Led cloud-native microservices on AWS, GCP, and Azure.
Designed scalable data systems for Fortune 100 clients.

Work Experience

Confluent

Senior Solutions Architect (1 yr)

Crossover

Principal Backend Engineer (1 yr)

Alteryx

Solutions Architect (3 yrs)

Cloudera

Senior Solutions Consultant (3 yrs)

DataMetica Solutions Private Limited

Engineer (2 yrs)

Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai

Research Assistant (2 yrs)

Education

Master’s Degree at Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai

Bachelor’s Degree at Guru Ghasidas University

High School at The Indian School, Bahrain

Shahrukh Khan

Product Manager

Mumbai, Maharashtra, India12 yrs experience

Highly Stable

Key Highlights

Expert in real-time streaming and event-driven architecture.
Led cloud-native microservices on AWS, GCP, and Azure.
Designed scalable data systems for Fortune 100 clients.

Stackforce AI infers this person is a Fintech and Data Engineering expert specializing in cloud architecture and real-time data solutions.

Contact

Skills

Core Skills

Event-driven ArchitectureReal-time StreamingData EngineeringCloud ArchitectureBig Data ArchitectureStreaming SolutionsDevopsResearch And Development

Other Skills

KafkaFlinkAWSGCPKubernetesTerraformPrometheusGrafanaCloud data lakeETL/ELT stackAlteryxTrifactaCI/CDHadoopApache NiFi

About

Experience

12 yrs

Total Experience

2 yrs

Average Tenure

Current Experience

Confluent

Senior Solutions Architect

Jan 2024 – Jan 2025 · 1 yr · Pune/Pimpri-Chinchwad Area · Remote

Architected Kafka- and Flink-based streaming platforms for large banks and retailers, processing tens of millions of events daily and moving reconciliation flows from overnight batch to sub-minute SLAs with full audit coverage.
Defined active-active disaster recovery patterns across AWS and GCP using Kafka replication and Kubernetes, meeting strict RTO/RPO targets for mission-critical workloads.
Built reference architectures, solution blueprints, and Terraform modules for common streaming patterns, enabling repeatable POCs and faster onboarding across business lines.
Standardized observability for customer platforms with Prometheus/Grafana dashboards, metrics, and alerts, improving incident response across production clusters.
Introduced AI/LLM workflows for architecture templates and runbooks, cutting documentation effort while improving consistency across engagements.
Led discovery workshops and design reviews with architects, security teams, and executives, translating regulatory and cost constraints into maintainable streaming architectures aligned with long-term strategy.

KafkaFlinkAWSGCPKubernetesTerraform+4

Crossover

Principal Backend Engineer

Jan 2023 – Jan 2024 · 1 yr · Mumbai, Maharashtra, India · Remote

Alteryx

Solutions Architect

Jan 2020 – Jan 2023 · 3 yrs · Pune, Maharashtra, India · Remote

Designed and led implementation of a cloud data lake and ETL/ELT stack for a Fortune 500 retailer, automating data prep workflows and reducing per-analyst prep time from hours to under an hour while lowering cloud costs.
Worked with enterprise customers across finance, retail, and supply chain to design UDFs and transformation patterns in Alteryx and Trifacta, embedding complex business rules into repeatable flows and cutting manual reconciliation.
Defined DevOps and DataOps frameworks for data teams, including environment patterns, CI/CD pipelines, and release processes, standardizing deployment and maintenance across projects.
Owned presales solution design for SaaS and data integration deals, running discovery workshops, building reference architectures, and leading POCs that aligned with budget, compliance, and performance requirements.
Acted as a trusted advisor to customer technical leads and success teams, simplifying architecture options and aligning designs with existing CDP/HDP/CDH and cloud investments.

Cloud data lakeETL/ELT stackAlteryxTrifactaCI/CDData engineering+1

Cloudera

Senior Solutions Consultant

Jan 2017 – Jan 2020 · 3 yrs · Bengaluru Area, India

Helped banking, telco, and retail enterprises migrate from legacy ETL/warehouse stacks to Hadoop- and Kafka-based platforms on CDH/HDP/CDP, defining target architectures for clusters up to hundreds of nodes and tens of terabytes of managed data.
Re-architected Apache NiFi dataflows for near real-time ingestion and analytics, increasing throughput and reducing end-to-end latency from hours to minutes for operational dashboards and regulatory reporting.
Implemented security and governance designs using Kerberos and Ranger to meet sector-specific compliance needs, improving auditability while keeping platform operations manageable for customer SRE and ops teams.
Automated provisioning and configuration of Hadoop and Kafka clusters with Ansible, shortening deployment cycles and making multi-environment rollouts more consistent.
Led presales engagements and architecture deep dives with enterprise stakeholders to shape scalable, cost-aware big data and streaming solutions that satisfied performance, HA/DR, and security objectives.

HadoopKafkaApache NiFiAnsibleBig data architectureStreaming solutions

Datametica solutions private limited

Engineer

Jan 2015 – Jan 2017 · 2 yrs · Pune Area, India · On-site

Designed and automated CI/CD pipelines for Hadoop and integration services, moving deployment cadence from quarterly to weekly while improving predictability.
Strengthened security posture of Hadoop clusters by implementing Ranger-based access controls, helping customers avoid major incidents and align with internal security standards.
Designed and automated backup and recovery workflows for distributed data environments, reducing recovery times and giving operations teams clearer, testable DR procedures.

CI/CDHadoopRangerDevOpsData engineering

Bhartiya vidya bhavans sardar patel institute of technology munshi nagar andheri mumbai

Research Assistant

Jan 2013 – Jan 2015 · 2 yrs · Mumbai Area, India

Built an Android augmented reality application backed by networked services, proving real-time computer vision for thousands of users.
Co-authored an IEEE paper on distributed real-time AR, formalizing architectural learnings around streaming, concurrency, and network resilience that later informed work on production-grade data and streaming systems.

Android developmentReal-time computer visionResearch and development