Democratising Data | SDE @ Myntra Process oriented Data Engineer with 8+ years of experience in Data Warehousing, Business Intelligence Data Analytics & Big Data Eco system.Well-versed in analysing customer behaviour of various products like DDP, Bifrost, Bounty, Jobvite, BM42, Live sales, HRD sales etc., and have successfully helped in business decisions for customer growth in Ecommerce giant.
Overview
9
9
years of professional experience
4
4
years of post-secondary education
2
2
Certifications
3
3
Languages
Work History
Senior Data Enginner
Myntra
Bangalore
08.2018 - 09.2022
India's Biggest Ecommerce Fashion Giant
Performing extract, transform and load from multitude of customer's enterprise data sources and ingested to ADW(Commerce and
Clickstream clusters),SingleStore, Azure Blob and S3 using Pentaho, Python, Spark SQL and Hive
Major contribution in Azure Migration project from AWS Redshift to ADW and cloud storage from S3 to Azure blob
Achieved quality and
availability of data across stakeholders post migration and making one of the longest successful projects in Myntra
Managed 12+ HRD Sale events like EORS(End of Reason Sale), Big Fashion Day and performed various tasks like scaling up clusters,Load
tests of (orders ~30k OPM,revenue 200+CR/day,events,clicks), setting up critical checks, GM debugging, adding anomaly detection in
critical data sets and setting up real time revenue/sales dashboards
Multi-tenancy project of merging two e-commerce fashion giant's (Jabong & Myntra ) to form Multi-tenant warehouse which is biggest
onboarding for Myntra
Performed necessary data mapping consisting of almost half a trillion of lines in a core revenue sales pipeline fact
core item
Implemented impacted changes to DWH due to cross platform initiatives like Card tokenization, Multi Seller Sku, CND ,DOPE, FBM/PPMP
and onboarding brands like H&M, Marks&Spencer, Urbanic & Noon as B2B
Build self-service data serving (DDP) & reporting capabilities product (UDP) using technologies such as ADW,Redshift, Pentaho, Python,
SingleStore, Hive, Azure blob, S3
Contributed in developing and maintaining Business Metrics and Live Sales Report - answers critical live metrics: Revenue, Orders, Gross
Margin, ASP, Top performing Brand/Article type,Acquisition, Discount, Ageing etc., both the reports are powered to teams like
Storefront, Category, Marketplace, Data Science, CEO, CTO ,VP etc
Completely owned the financial month end closing unit(MEC) of Myntra - end to end for all data requirements by providing insights to
across teams like Product, Inventory, Account receivables , Account Payables, Business Finance and delivered useful financial
reconciliation reports like Sales revenue, Seller settlement, Inventory movement,Closing stocks, etc
Achievements : Financial Intelligence : Built veracity checks on all the critical data metrics to smoothen the Month End closing books to
finish within CD1/2 without any breaches that helped leadership team to get insights on Financial books by 1st of every month
Organised,modularised and parallelised the batch processing pipeline of core data set of sales-revenue (FOCI) by reducing the runtime to
50% that profited low latency for business metric reports to across customer's and also minimised the Commerce DWH cluster utilisation
Achievements/Tasks
Madhusudhan N
Senior Data Engineer
ORGANIZATIONS, Myntra
08.2018 - 08.2022
Data Engineer
Harman
04.2017 - 08.2018
Involved in Requirement Analysis, ETL development, Data Mapping and Data Integration Services
Executed Python files to generate POM (Project Object Model) file for mappings
Developed Python scripts to automate various daily, weekly, quarterly reports and share across the teams
Reporting and Visualization of data for Customer success for organization strategies through developing the variety of Custom reports
with Tableau Analytics
Understanding business requirements and translating them to technical specifications, interpret data, analyse results using statistical
techniques and provide ongoing reports
Coordinating with different teams like product management, digital marketing, developers, CEO, sales & marketing etc., and provide the
required insights of the customers.
Data Engineer
Harman
03.2017 - 08.2018
ETL Developer & Data Analyst
Capgemini - Ciena DWBI Client & Motorola
01.2014 - 04.2017
Involved in Requirement Analysis, ETL development, Data Mapping and Data Integration Services
Subject area expertise for Ciena Workday unit that involves managing the worker data for the Ciena and generating reports to different
vendors like Demand Planning, Sales Forecast, Sunlife Retirement and JK charity
Delivered POCs on retail data migration and Networking analytics to showcase the ability of MPP Datawarehousing
Developed ETL mappings using Informatica Powercenter to move data from multiple sources like flat files, oracle tables into a common
target area: Staging, Data Warehouse, and involved in performance tuning by optimising the sources, targets, mappings and sessions for
Ciena & Motorola client
Implemented to capture the slow changing data for the different vendors like Workday by implementing SCD type 1/type 2 ETL code
Underwent training on Oracle 10g, Core Java, Data warehousing concepts, Informatica Powercenter, Big data concepts, Talend 5.4.
ETL Developer and Data Analyst
Capgemini
01.2014 - 03.2017
Education
Graduate in Bachelor of Engineering -
Visvesvaraya Technological University
08.2009 - 09.2013
Certification
MPP Datawarehousing Azure Data Warehouse MSSQL Redshift SIngleStoreDB(Inmemory) Business Intelligence