Ritendra Srivastava

CEO

Bengaluru, Karnataka, India16 yrs 9 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • 21 years of experience in Enterprise Data and AI.
  • Expert in Generative AI and Data Governance.
  • Led large teams in product leadership roles.
Stackforce AI infers this person is a Data and AI Governance expert with extensive experience across multiple industries.

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Skills

Core Skills

Data GovernanceGenerative AiData AnalyticsMachine LearningData Architecture

Other Skills

AIOpsALMAdvertising TechnologyAirlinesAltscaleAmazon Web Services (AWS)AnalyticalAnomaloApache KafkaApache SparkApplication & Data IntegrationApplication SupportArchitecture – DistributedArtificial Intelligence (AI)Azure Databricks

About

Profile Summary (21 years into huge Enterprise Data with AI, (Gen AI & AI Agents, now), Responsible & Ethical AI, Governance, Strategy, Migration, Cloud, Monolith, Microservices, Acquisitions & IPs) . Last 7 years into Generative AI, AI Agents, Realtime Analytics, Lineage, Governance, MDM, Data Quality, Deployments & Production challenges. . Last 7 years into Product Leadership @ Startups working with Product Owners, CxOs, & Investors. Managing 300+ team sizes. . Last 17 years designing Data Lakes, Data Stores, Feature Stores, Customer Data Platforms (CDP), Cloud Data Warehouse (CDW), Managing teams into Realtime Streaming Event Driven Systems, Cloud, Microservices, Analytics, AI / ML. . Last 21 years into Data/AI Governance, MDM & Data Quality Assessment Frameworks, for large enterprises. Security & Governance in Cloud. Governance & GRC (PII/DSS, HIPAA, SOX, GDPR, HL7, FHIR, CAPA, NC etc). . Production Support, SLAs, Infra, HA, Batch to real-time (now), Cloud Integration, Microservices, Migrations, Data Lakes. . Patents, IPs, Acquisitions, Budgeting, Digital Enablement, Partners & Customers alliance, Stakeholders, CxO's. Business Domains worked: Digital, DeFi, Health, AdTech, Retail, Cyber Security, FinTech, EdTech, Telecom, Airline, MFG, Inventory, & SCM. Please feel free to connect for any Data drives, Data solutions, Data solutions, AI or Generative AI, Analytics, MDM, Data Quality, Governance, Strategy, etc., business requirements. Can help over - Any Technology, Any business domain.

Experience

Datamatics

AVP (Data, AI & Gen AI), Architecture, Governance, COE, Digital Transformation

Jul 2024Present · 1 yr 8 mos · Bangalore Urban, Karnataka, India · Hybrid

  •  Data+AI lab for Customer POCs & Benchmarking of ALL types of workloads on ALL architecture layers.
  •  Driving the development of Data Accelerator with features covering latest & futuristic industry trends
  •  Developing video analytics product use computer vision with features like image recognition, object vision, facial recognition, classification, segmentation and inspection.
  •  Data Accelerator for solving data quality problems of monolith & cloud customers. Product supports text, video and audio data.
  •  Helping corporations realize their wins in Data, AI, GenAI (Agents, Chatbots), Governance, Responsible AI projects from inception to implementation.
  •  Helping customers over Data - Design, Architecture (Medallion, Snowflake, Star Schema), Development,
  • Engineering, Solutioning, Integration, Lineage, Harmonization, Federation & Innovation.
  •  Provide help for Patents, IPs, Acquisitions, Security, Identity, Strategy, GRC, COE, Migrations in Monolith & Cloud environments.
  •  Helping set up new or re-engineer old, legacy systems over Batch, ETL, ELT, CDC, Event Driven, Monitoring, Observability, Logging, Auditing, Metadata, Cataloging, consumed by SLA, OLA, Data Pipelines, Data Lakes, Staging, ODS, DWH, Serverless, BFF & Monetization.
  •  Designed & Engineered ISO/IEC 42001 compliant, enterprise AI Management System (AIMS) for a Dubai based Bank (With Responsible AI / Ethical AI).
  •  Multi agent workflows, Knowledge Graphs with RAG for efficient AI Agents. Reducing Factual inconsistency
  • and Basic conversations problem on AWS & Azure both for an enterprise customer.
  •  Automating text generation workflows via decoder LLM models and Prompts, solving severe data quality issues for the huge dataset.
  •  Predictive maintenance of industrial equipments using IOT and sensor data was highly improved by
  • classification model XG Boost Classifier.
  •  Budgeting, Digital Transformation to Enablement, 360o Global Collaboration, Partners & Customers
  • alliance, Stakeholders, CxO's.
Data PrivacyData StrategyData GovernanceData ArchitectureGenerative AILarge Language Models (LLM)+16

Dbamart database services priv limited

Principal Data Lead (Data, AI & Governance) (Johnson & Johnson)

Sep 2019Jun 2024 · 4 yrs 9 mos · Bengaluru, Karnataka, India · Remote

  •  Data pipelines life cycle (125+), Designing, Curation/Lineage, Modeling, Cataloguing, to Productionizing.
  •  Implementing Medallion architecture of Lake House along with Migrations, Pub/Sub, SCD, CDC, CQRS,
  • MV, Aggregations, Logging, Staged streaming, & Event streaming design patterns.
  •  Data Pipelines had Data Quality (DQ), Personally Identifiable Information (PII) Machine Learning insights
  • built in. Added Large Language Model's (LLM’s) for Clinical Text Summarization, Information Extraction,
  • Image Processing (ID or Identity match) & Question and Answers.
  •  Transforming Generative AI projects to Conversational AI improving Human Interactions.
  •  Per Health & Pharma standards (HL7, ICD, CPT, HIPPA, HCQIA, PSQIA, FHIR, EHR), Clinical research, Clinical
  • trials, Claims, Audit, Compliance & Regulations.
  •  Data pipelines inline data analysis, Dashboarding, Governance & Security via partner connect tools.
  •  Monetizing the business analytics via data insights, models, datasets, reports from the Marketplace.
  •  Interfacing with internal / external partners over changing business needs or new requirements.
  •  Driving Data Practices, COE, across all the different environment, along with costing & budgetary control.
Pharmaceutical ResearchPower BITableauThoughtSpotMLOpsAzure Databricks+32

Colortokens

Senior Manager (Analytics)

Jun 2018Aug 2019 · 1 yr 2 mos · Bengaluru Area, India

  • Highlights
  •  Products hack, fraud, anomaly detection algorithms reduce cyber security risks by 25%.
  •  Product complied to GRC norms of several key countries.
  •  On boarded 9 customers across three geolocations after 6 months of aggressive beta product run.
  • Projects
  • Designed the architecture of a legacy ELT application. Moving from Multitenancy architecture Kafka, Spark, Cassandra & MongoDB to Snowflake Data Lake.
  • Designed Components for Ingestion (Talend & Snowpipe), Preparation (Metadata), Compute (Snowpark & PySpark), Analysis (SnowSQL), and Dashboarding (Power Bi & Tableau). Sourced data from Oracle Datawarehouse copying the Facts & Dimensions into Snowflake tables using Talend jobs & joblets.
  • Implemented Change Data Capture (CDC) design pattern in Talend to load deltas.
  • Developed Mappings, Sessions, and Workflows to extract, validate, and transform data according to the business rules using Talend.
  • Created and scheduled Azure Data Factory Pipeline with underlying source as Azure Storage or a Database or an API (path), running data transformations or compute using Spark code in Azure Databricks Workspace Notebook using required pay-per-use Azure Cluster.
  • Trained Data scientists, Data engineers over how to get the most of Azure SQL Pool or Azure Synapse Analytics (ASA) or Azure Databricks or Azure Data Pipeline & Data Flows, Power BI or Tableau.
  • Databases like Oracle, PostgreSQL, Redshift, Teradata are accessible via JDBC or Connectors Followed by posting this data onto a Power BI or Tableau dashboard or ThoughtSpot data exploration, or Looker reports, using Clusters or Serverless ecosystem.
  • Designed the Logical and Physical data model for snowflake per system specifications. Evaluated many Data Pipelines per business requirement defining ACLS for access.
  • Calculated virtual warehouse sizing for Snowflake Data Lake for different type of workloads.
  • DWH model in snowflake for over 100 datasets using visio.
EDRMLOpsArchitecture – DistributedSeleniumProduct LeadershipData Operations+10

Sabre india

Principal Data Architecture (Data Engineering & Solutions)

Jan 2016Jan 2017 · 1 yr · Bengaluru, Karnataka, India · On-site

  •  Data driven 360-degree hospitability projects of $25 million were kick-started.
  •  Provide customer data to customer with insights thus improving the overall experience.
  • Setup teams for Big Data, Analytics, User/Customer/Traffic behavioral models in Airline domains.
  • Re-engineer current legacy platforms, kick start Airline Modernization projects via NRT apps.
  • Analyze current data models, re-engineer & create new data architectures for futuristic platforms.
  • Drive Oracle to Vertica projects using Hadoop, Tableau & Mahout as SSOT for legacy applications.
  • Python based ML packages for predictive & preventive models improvising quality of hospitality (QOH).
  • Lead technology & business from BU level, thus connect & create missing dots towards future.
SeleniumData OperationsAirlinesMicrosoft AzureMachine LearningTeradata+9

Graycell

Principal Data Architecture, Analytics & AI Advisory

Oct 2010Dec 2015 · 5 yrs 2 mos · Bangalore

  •  Head 9 global teams of Principals, Architects, Scientists over Health, EdTech, Airline, Transportation, FinTech, Retail.
  •  Helping customers over a data footprint of $97mn Data, Governance, Enterprise Architecture, & Data Pipelines.
  •  Data Lake Architecture roadmap to deployment using Monolith, GCP & AWS cloud platforms per business needs.
  •  Flight arrival, Customer offer management (Segmentation, Sentiment analysis, dynamic discounting) for Sabre w/ AI.
  •  Fraud detection, protection, prevention, correction, supported by audit, observability & recommendations using machine learning on financial data.
  •  Prediction of Timeseries data, Image match, analysis for behavioral metrics via Machine Learning for traffic data.
  •  Target financial prediction of d-o-d different portfolio sales, similarity, product type, & location recommendations.
  •  Part of global hiring, mentoring and excelling business orgs, helping to innovate better with 24/7/365 learning.
JUnitArchitecture – DistributedService & SolutionSeleniumProduct LeadershipData Operations+18

Yahoo!

Engineering Manager (Data & AI)

Nov 2008Oct 2010 · 1 yr 11 mos · Bangalore, KA, India

  •  Hire 30 members DevOps & Deployment team for 42 YSM BUs projects. Budgetary Control, & Provisioning.
  •  Machine Learning algorithms for Predictive Automation & Monitoring (PAM) of Ads saving $15 million/month.
  •  Machine Learning for YSM Ads improvisation, monetizing for recommendation, clicks, NLP, topics etc, using Hadoop.
  •  Development, CID, Architecture, DQ Dashboards & Scorecards for Publisher & Advertiser apps of B2C/B2B domain.
  •  Reduced TCO of YSM BU by 42% by driving HP Openview to Nagios/Ganglia, MSTR to MSAS, Migrated a datacenter.
  •  POC ALM, CI, CM, SLA, SLM, Data Services, COE, SOX, DCIM, GRC, CSAT, & Incidents.
  • PS: 88.5% of Yahoo’s revenue of Display & Click ads came from YSM BU with avg. SLA of $4 million/hour.
JUnitArchitecture – DistributedService & SolutionData OperationsData EnterprisesData Architecture+12

Amazon

Development Manager (AWS)

Jul 2007Oct 2008 · 1 yr 3 mos · Hyderabad, AP, India

  •  Hire 20 members GFS Support & Development team with 17+ projects under follow-the-sun model.
  •  Development & Support for DW, Data stores, Payments & Invoicing. Self Service & Ticketing/Incident Management.
  •  Migrating merchants to Amazon Web Services (AWS) via IAAS model reducing TCO from Legacy & Web apps.
  •  Hiring over Innovation & Excellence, Mentoring, Leveraging cross functional teams, Policies & Processes.
  •  Strategic Alliance, Projects, Lessons Learned, Product Roadmap, & Budgeting with Global teams at all levels.
  • PS: Global Financial Systems (GFS) BU with $14.84 Billion sales, reaching 10,000 tps in 2007.
Architecture – DistributedService & SolutionRetailData EnterprisesData ArchitectureData Analytics & Analysis+8

Oracle

Technical Manager (Oracle Cloud)

Jan 2006Jun 2007 · 1 yr 5 mos · Bangalore, KA, India

  •  Delivered $12 Million Customer Based Testing (CBT) project automating EBSO’s (from 11i) customer deployments.
  •  Project Oracle database on Cloud - Oracle Database As A Service (ODAAS) using xensource completed but shelved.
  •  DB2 to Oracle migration project part of Siebel CRMs Business Process Integration with Oracle’s EBSO.
  •  Customer based CC/RC Engineering efforts over Quality of Service (QoS) & Engg. Perf. Scalability Reliability (EPSR).
  •  Driving Virtualization, Galileo, ADF, SSOT, & KM practices with Atlanta Center of Excellence (COE).
  • PS: Service Engineering (SE) team in the On Demand org of multi-billion dollar company, Oracle.
Data EnterprisesData ArchitectureData Analytics & AnalysisData QualityData MigrationMDM+6

Parexel

Application Architect

Jan 2003Jan 2006 · 3 yrs · Durham, North Carolina, United States

  •  Worked in 12 customer & patient data projects spanning over 9 different environments & 4 countries.
  •  Created CHDW (Customer Health Data Warehouse) for trial data sourced by many MIDD data marts.
  •  Delivered Global Enterprise Metric Monitoring (GEMM) project for EMS, using HPO, HP ITO, Perl, MySQL.
  •  Development of CMS, EDR & MDM integration helped org wide reporting. Used Perl, Informatica, Shell, XML, SOA, PL/SQL, & Oracle.
  •  Providing text data, images for analysis & integration of data related to the molecules, drug usage, patents, and trial outcomes.
  •  Model-Informed Drug Development (MIDD) data is consumed by models and simulations prepared by research teams. MIDD helps attain efficiency, reduce the time and DTM (drugs to market) costs.
  •  Helping over migration and integration of MIDD data from many acquisitions with Parexel data.
Data OperationsData EnterprisesData ArchitectureData Analytics & AnalysisData QualityData Migration+6

Wachovia, a wells fargo company

Application Expert

Aug 1998Dec 2002 · 4 yrs 4 mos · Charlotte, NC, United States

  •  Development, Support (15 min SLA), Monitoring for FIS & TMS (Trading Management System, 18 departments)
  •  Functional specs from NYSE & Wachovia team, CXO stakeholders, Customers.
  •  Evaluation Microstrategy (MSTR) over Cognos as future BI platform amounting $1.2 Billion y-o-y trading.
  •  Driving Change Control Board (CCB) practice, Migration, Portability, & end to end Integration projects.
  •  Daily Trade Reporting Automation project of TMS with daily 415 trade jobs.
  •  Lead $9 Million E10K Benchmarking project for future TMS infrastructure & Lead SOX initiative.
  • PS: Wachovia Securities part of $170 Billion First Union group. Fixed Income Securities (FIS) BU had Customer facing, Bulk Revenue Critical Global applications under Trading Management System (TMS) umbrella, Nightly Batch on Sybase/Solaris, FUNB Data Warehouse (FUNB DW) on Oracle/Solaris for Web Reporting, Market Risk & Credit Risk.
Data OperationsData EnterprisesData ArchitectureData Analytics & AnalysisData QualityData Migration+4

Heg limited

Programmer Analyst

Jan 1998Jul 1998 · 6 mos · Bhopal Area, India

  •  Development & Architecture, Customer training, Vendor interfacing, RFPs, SME for India vide plants.
  •  FAIS was re-developed with mirco-batch feature, which helped in real-time reporting in a batch system.
  •  Re-engineered legacy Finance Accounting Inventory System (FAIS) with Event Sourcing model.
  •  Tuning/Rewriting queries and batch loads, reducing loads time from 3 days to 5 mins.
Manufacturing

Education

DAVV

MCA — Computer Science

Jul 1990Jun 1993

MVM

Bachelor of Science (BSc) — Maths

Jul 1987Jun 1990

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