Madhu Sudhan

VP of Engineering

Bengaluru, Karnataka, India12 yrs experience

AI ML PractitionerAI Enabled

Key Highlights

10+ years of experience in Data Engineering and AI.
Led successful migration to Azure Data Warehouse.
Developed real-time analytics platforms for data-driven decisions.

Stackforce AI infers this person is a Data Engineering and AI expert in the EdTech sector.

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Skills

Core Skills

Data EngineeringArtificial Intelligence (ai)

Other Skills

Amazon RedshiftAmazon Web Services (AWS)AutomationAzure Data WarehouseBigdataBusiness Intelligence (BI)Business MetricsCI-CDChatbot DevelopmentCloud StorageData AnalysisData IngestionData IntegrationData LakesData Mapping

About

Diligent professional Data & AI Lead with strong background of 10+ years of relevant experience in leading data engineering and AI initiatives. Proven track record of building robust scalable and data architectures. Currently leading a team to execute data engineering and AI strategies for establishing Elevate K12's data platforms and educational data solutions. As a Engineering Lead Data & AI at Elevate k12, I am responsible for designing, developing, and maintaining data pipelines, data lakes & AI initiatives that enable data-driven decision making for various EdTech products and services. In my 10+ years of experience in Big Data engineering, Business Intelligence, and Data Analytics, I have worked with various tools and technologies such as Advanced SQL, AI, LLM, Snowflake, Databricks, Python, PySpark, Airflow, Azure ADF, AWS Glue, Hive, Talend, Tableau & PowerBI.

Experience

Elevate k-12

Engineering Lead - Data & AI

Oct 2023 – Present · 2 yrs 5 mos · Bengaluru, Karnataka, India · Hybrid

Personalised L2 chatbots with LLM's: Translated the benefits of LLM technology for real-time use case to build a L2 support chatbots for instantly providing solutions without manual intervention.
Machine Learning Implementation: Tailored personalised learning paths for students using historical data (attendance, performance, test scores, feedback) to address learning gaps and enhance progress
Owning Data Engineering and serving layer: Took full ownership of the data engineering and serving layer at Elevate K12, transitioning from a third-party provider. Led team building, knowledge transfer, and managed the data layer with daily scrums, sprint planning, and resource allocation.
Collaboration with Product and Engineering Teams: Working closely with product, engineering, and educational teams to understand requirements and deliver data solutions that enhance platform features and educational services.
Stakeholder Communication: Communicate AI and data-driven insights effectively to key stakeholders, including product managers, senior leadership, Sales, Marketing, Operations and educators.

Artificial Intelligence (AI)Data EngineeringData LakesData PipelinesStakeholder Communication

Mfine

Engineering Lead - Data

Nov 2022 – Sep 2023 · 10 mos · India · On-site

Feature & Score Generation Pipelines: Built pipelines from scratch with data quality checks, CI-CD, test cases, alerts, and automation.
Real-Time Analytics Platform: Developed an end-to-end platform using Pub/Sub model and ELK Stack for real-time analytics.
Data Ingestion: Ingested streaming and batch data from 50+ topics, processing 500,000 messages per minute across 800 events.
Data Consistency Validation: Developed scripts for cross-platform data consistency validation, scheduled with Airflow.

Data EngineeringReal-Time AnalyticsData IngestionData Quality Checks

Myntra

Senior Software Engineering

Aug 2018 – Sep 2022 · 4 yrs 1 mo · Bengaluru Area, India · On-site

Azure Migration: Led migration from AWS Redshift to Azure Data Warehouse (ADW) and transitioned cloud storage from AWS S3 to Azure Blob Storage.
HRD Sale Events: Managed 12+ major sales events, including EORS (End of Reason Sale) and Big Fashion Day.
Multi-Tenancy Project: Contributed to merging two e-commerce giants, Jabong and Myntra, into a multi-tenant warehouse, marking Myntra’s largest onboarding project.
Self-Service Data & Reporting: Built a self-service data portal (DDP) and reporting product (UDP) using ADW, Redshift, Pentaho, Python, SingleStore, Hive, Azure Blob, and S3.
Business Metrics & Live Sales Report: Developed and maintained live sales and business metric reports, covering critical metrics like Revenue, Orders, Gross Margin, and ASP.
Financial Month-End Closing: Fully managed Myntra’s financial month-end closing (MEC) process, providing data insights across multiple teams, including Product, Inventory, Finance, and Accounts.
Financial Intelligence: Implemented veracity checks on critical data, ensuring smooth month-end closing (within CD1/2), providing leadership with financial insights by the 1st of every month.
Batch Processing Optimization: Improved batch processing of core sales-revenue data (FOCI), reducing runtime by 50%, enabling low-latency reporting and reducing DWH cluster utilization.

Azure Data WarehouseData MigrationData ReportingBusiness MetricsData Engineering

Harman international

Data Engineer

Apr 2017 – Jul 2018 · 1 yr 3 mos · India · On-site

Project : Customer Success Analytics & Data Migration
Client : Jobvite
Technical Platform : Application Tracking System
Operating System : Windows 8
Database : MSSQL, MySQL
ETL Tool : Talend 5.4.2, Jobvite ETL tool, Python
Reporting Tool : Tableau
Role : Senior Data Analyst - Product Development
ETL & Data Integration: Involved in requirement analysis, ETL development, and data mapping for seamless integration.
Automation & Reporting: Developed Python scripts to automate reports and share them across teams.
Data Visualisation: Created custom reports and visualisations with Tableau to support customer success strategies.
Cross-Team Coordination: Collaborated with Product, Marketing, Sales, and leadership to provide customer insights.

ETL DevelopmentData IntegrationData VisualizationData Engineering

Capgemini

Senior Data Analyst & ETL Developer

Dec 2013 – Apr 2017 · 3 yrs 4 mos · India · On-site

ETL & Data Integration: Involved in requirement analysis, ETL development, data mapping, and integration services.
SCD Implementation: Implemented slow-changing data (SCD Type 1/Type 2) ETL code for vendors like Workday.
Training: Completed training on Oracle 10g, Core Java, Data Warehousing, Informatica PowerCenter, Big Data concepts, and Talend 5.4.

ETL DevelopmentData MappingData WarehousingData Engineering