Ritesh Singh
New Delhi
Summary
PROFESSIONAL SUMMARY
Seasoned Data Engineering and AI leader with nearly 20 years of experience in architecting and scaling modern, cloud-native, multi-cloud data platforms across diverse industries. Proven track record in leading high-impact Lakehouse architectures, steering GenAI initiatives, and enabling enterprises to transform data into actionable insights. Adept at aligning data strategies with business objectives, mentoring high-performance teams, and driving innovation through cutting-edge technologies.
- Data Architecture: Lakehouse architectures (Databricks, Snowflake, Fabric), Data Warehousing, Data Lakes
- Cloud Platforms: AWS, Azure, GCP
- Big Data & Streaming: Apache Spark, Kafka, Flink
- Programming & Scripting: Python, SQL, Scala
- DevOps & CI/CD: Jenkins, Git, Docker, Kubernetes
- Visualization Tools: Power BI, Looker Studio, Tableau
- AI & Machine Learning: GenAI, ML model development and deployment
- Leadership: Team building, cross-functional collaboration, strategic planning
- Project Management: Agile methodologies, stakeholder engagement, ROI-driven execution
Overview
20
20
years of professional experience
1
1
Certification
Work History
Senior Technical Architect /Associate Director
Srijan Technology - A Material+ Company
06.2023 - Current
- Led the Data Engineering Practice by defining a clear vision aligned to business goals, fostering an innovation-driven team culture, managing vendors and budgets, and scaling competencies across Data Engineering, Analytics, and Science.
- Delivered Data Strategy & Consulting as a trusted advisor to Fortune 500 clients across industries, influencing enterprise data architectures and unlocking measurable business value.
- Designed and executed GenAI & AI-powered PoCs to explore next-gen data processing and integration capabilities, enabling clients to adopt scalable, cost-efficient architectures with >30% ROI improvements.
- Drove architectural decisions across relational, distributed, and object storage platforms, optimizing for scalability, performance, and cost-efficiency.
- Partnered with Sales to shape winning proposals and solution strategies, directly contributing to multimillion-dollar deal closures and expanded revenue pipelines.
- Collaborated with Marketing & Recruitment to build strategic collateral and attract top talent, strengthening practice brand and delivery capacity.
- Architected and delivered enterprise-scale cloud-based data lakes, warehouses, and MDM platforms with robust data modelling, quality frameworks, and governance.
- Led end-to-end development of automated, self-serve data infrastructure (e.g., on AWS and Snowflake), boosting operational efficiency by 40% and ensuring data accuracy and integrity.
- Established code excellence standards for ETL pipelines, SQL queries, and automation scripts, ensuring performance, scalability, and audit-readiness across platforms.
Sr. Enterprise Data Analytics and BI Architect
McKinsey&Company
07.2021 - 04.2023
Senior Data Architect – McKinsey & Company
- Led and mentored 50+ engineers across 4 strategic teams (Enterprise Data Enablement, Cloud Data Platform, Enterprise Integration, and Search Engineering), aligning structure with agile product delivery models.
- Architected McKinsey’s enterprise data modernization, migrating 5,000+ SnapLogic pipelines from Oracle to a modern cloud-native stack using Kafka, Apache Airflow, AWS Glue, PySpark, and Snowflake — improving scalability and reducing ETL costs by 40%.
- Redesigned data integration for real-time insights, streaming SAP-BTP finance data into Data Warehouses to enable real-time reporting and decision-making.
- Developed Cloud Data Models and implemented a Lakehouse architecture in AWS and Snowflake, enabling centralized governance and analytics.
- Enabled self-serve ingestion and automated control plane for user setup, access, state management, and monitoring, reducing onboarding time by 60%.
- Led BI transformation using AI-enhanced analytics with Tableau, Power BI, and Alteryx, accelerating insight generation for business teams.
- Established robust data governance, quality, and security frameworks, ensuring compliance and trust in data assets.
Enterprise Data Architect
McKinsey & Company
11.2020 - 06.2021
- Acted as a strategic thought partner to UX leads, defining search and discovery experiences across diverse user personas to shape the optimal Data Catalog solution.
- Enabled 50+ data users by mapping their data landscape and onboarding them to an enterprise Data Catalog, improving data discoverability and usability.
- Led cloud-native POCs evaluating top Data Catalog vendors, selecting solutions that enhanced metadata search, AI-driven discovery, and governance alignment.
- Designed & implemented seamless integrations between Data Catalog and 20+ enterprise data sources (e.g., Snowflake, SAP, S3), enabling automated metadata crawling and lineage capture.
- Educated business and technical users on core data governance concepts (metadata, glossary, lineage, dictionary), increasing platform adoption by 60%.
- Established enterprise-wide metadata management processes in collaboration with Data Governance teams to enforce quality, consistency, and compliance.
- Unified siloed metadata and data structures across fragmented systems, improving data accessibility and alignment with AI/ML use case readiness.
- Developed automation pipelines that reduced manual metadata tagging and delivery time by 40%, enhancing speed and trust in data operations.
Senior Technical Lead
McKinsey & Company
02.2015 - 11.2020
- Led discovery workshops and stakeholder interviews across diverse user personas to gather actionable insights and align data initiatives with business goals.
- Designed and delivered a next-gen BI & reporting platform with an enterprise data warehouse and tools like OBIEE, Tableau, and Alteryx, enhancing FP&A efficiency and reporting agility.
- Improved executive reporting and decision-making, enabling 3x faster access to actionable insights and strategic KPIs.
- Freed up 40%+ of analyst time by automating low-value transactional processes, shifting focus to high-value, insight-driven analysis.
- Standardized and optimized global business processes, reducing operational overhead and improving consistency across functions.
- Leveraged AI-powered automation to drive process efficiency, flexibility, and scalability, leading to measurable gains in speed and cost-effectiveness.
Pre Sales Senior Technical Consultant
Oracle Corporation
11.2013 - 01.2015
- Represented Oracle Corporation in client-facing roles, showcasing Oracle BI Applications, Cloud, and AI-enabled analytics capabilities to drive pre-sales success and client confidence.
- Delivered architecture presentations and business-centric demos tailored to client pain points, accelerating deal closures and increasing solution adoption.
- Led current vs. future state assessments, identifying modernization paths that improved data agility and analytics readiness by up to 40%.
- Executed PoCs and PoVs on Exadata and Exalytics, delivering tangible value that influenced multi-million-dollar technology investments.
- Created and customized reusable solution assets for client engagements, reducing pre-sales cycle time by 30%.
- Delivered cutting-edge analytics solutions for Big Data, IoT, and AI use cases, demonstrating predictive insights and real-time decisioning potential.
- Pioneered BI adoption on Cloud & Mobile, enabling enterprise-wide access to insights and improving decision velocity across business units.
- Continuously tracked emerging technologies, ensuring alignment of Oracle BI solutions with future trends in AI, data platforms, and digital transformation.
Senior BI Consultant
IBM Corporation
10.2010 - 10.2013
- Consulted clients on designing and implementing scalable reporting platforms, enhancing data-driven decision-making and reducing reporting turnaround time by up to 50%.
- Delivered expertise in OBIEE, BI Publisher, and Informatica, developing automated data pipelines and interactive dashboards that improved reporting accuracy and operational efficiency.
Senior BI Consultant
Deloitte Consulting India Pvt. Ltd.
12.2009 - 11.2010
- Designed a modern BI and data warehouse platform supporting Financials, Supply Chain, and Asset Management reporting, improving reporting speed by 40% and enabling AI-assisted analytics.
- Integrated BI capabilities into PeopleSoft Enterprise Portal, delivering real-time KPI dashboards and enhancing decision-making access across departments.
- Developed an AI-enabled Asset Planning Tool for rig maintenance and capital projects, increasing planning efficiency and reducing downtime by 25%.
- Enhanced management reporting frameworks, resulting in faster insights, improved accessibility, and a 30% boost in data-driven decisions.
OBIEE Developer
Satyam Computers
08.2005 - 11.2009
- Engaged with customers to gather requirements and deliver high-impact demos, ensuring alignment with business objectives and accelerating solution adoption.
- Designed and developed scalable ETL pipelines to populate and refresh enterprise data warehouses, improving data availability and reducing latency by 35%.
- Created and distributed OBIEE reports and dashboards, delivering actionable insights that enhanced business decision-making across key functions.
- Provided production support and defect resolution, ensuring >99.9% uptime and faster turnaround through proactive monitoring and automation, including early pattern based anomaly detection.
Education
Bachelor of Applied Science in Information Technology - Information Technology
Indraprastha University
Delhi06.2005
Skills
- AWS Certified Cloud Practitioner
- Microsoft Certified: Azure Fundamentals
- Oracle Business Intelligence Implementation Specialist
- Oracle PL/SQL Developer Certified Associate
- Snowflake, Oracle, SAP HANA, AWS Redshift, NoSQL databases, DynamoDB, PostgreSQL, Amazon Aurora
- ETL (AWS Glue, Informatica, SnapLogic, DataStage, ODI, Alteryx)
- Visualization (Tableau, OBIEE, Power BI)
- S3, AWS Glue, Apache Spark, Lambda, Terraform, Cloud Watch, AWS VPC, Glacier, EBS, IAM, Route 53, Load balancer, AWS DMS, Kinesis Data Streams, Kinesis Firehose, AWS Step Functions, API Gateway, CloudFormation, Serverless Framework, Terraform
- Python, SQL, PL/SQL, Unix Scripting
- Git, Jenkins, Bitbucket, Docker, Kubernetes
- Datadog, App Dynamics, Kibana
- ERP ,CDP ,CRM ,Loyalty System, POS
Certifications -
Databases -
Tools -
Cloud Technologies: AWS Tech Stack:
Languages -
CI/CD-
Monitoring-
Products -
Timeline
Senior Technical Architect /Associate Director
Srijan Technology - A Material+ Company
06.2023 - Current
Sr. Enterprise Data Analytics and BI Architect
McKinsey&Company
07.2021 - 04.2023
Enterprise Data Architect
McKinsey & Company
11.2020 - 06.2021
Senior Technical Lead
McKinsey & Company
02.2015 - 11.2020
Pre Sales Senior Technical Consultant
Oracle Corporation
11.2013 - 01.2015
Senior BI Consultant
IBM Corporation
10.2010 - 10.2013
Senior BI Consultant
Deloitte Consulting India Pvt. Ltd.
12.2009 - 11.2010
OBIEE Developer
Satyam Computers
08.2005 - 11.2009
Bachelor of Applied Science in Information Technology - Information Technology
Indraprastha University
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