VIKASH KUMAR

• Vikash is a seasoned Data Management Specialist and Senior Engineering Manager with over 15 years of experience delivering enterprise-scale data solutions across diverse business domains. His expertise spans Data Analytics, Migration, Integration, Reporting, Data Warehousing, Governance, Tiering, and Security, with a deep understanding of end-to-end data ecosystems.
• In his leadership role, Vikash has successfully managed large, cross-functional teams across a wide range of technologies including ETL, Databases, ERP systems, and Reporting tools. He has played a pivotal role in financial transformation programs, delivering complex, high-volume data migration projects with precision and impact.
• Vikash brings rich experience in both SAP (ECC, S/4HANA, MDG) and non-SAP ERP systems (JDE E1, Oracle Fusion). He is highly proficient in Master Data Management, including the harmonization of customer, vendor, and material data in S/4HANA environments. His technical strengths also include Data Temperature Management (Hot, Warm, Cold storage) in large-scale native HANA systems.
• He has delivered executive-level data quality and KPI dashboards using Tableau, Power BI, and Excel, enabling data-driven decision-making at the highest levels.

Maersk (Dec 2021 – Till now)

Project: NFTP Data Migration (Ocean & LnS releases), Master Data Quality & Stabilization, Process Improvements

Technologies: BODS, HANA, Power BI, Python, ECC, S4/HANA, MDG, CMD, MDM

NFTP Data Migration (Ocean & LnS) project is a large scale, multiyear project with commitment of migrating Master & Transactional Data from ECC & Non ECC system to S/4 HANA (including S/4 MDG) financial chassis. Migrating 100M+ data volume across PTP, ATR and OTC objects required robust understanding of data migration process and ETL solution with optimum performance to meet the business timelines.

Master Data Quality & Stabilization revolves around building framework to make sure master data is available and consistent in all the consuming application with minimum latency. Customer and Vendor data was harmonized together to unify the data across organization.

My role involved in architecting the data migration framework, work with business/tech team to understand System topology and process improvements, prepare data migration plan, measure and improve master data quality, ETL design, handling large volume of data, Reconciliation and Reporting.

MDSap TECH (March 2021 – Nov 2021)

Project: Etisalat - Native HANA migration

Technologies: HANA, SDI, SQL and PL/SQL

As part of this project, we implemented a large scale out (50TB, 9 nodes) HANA system and migrated over 120 TB of compressed data from Netezza to HANA for daily, weekly and monthly reporting.

My role is the project was to architect the data storage strategies to reduce data footprints yet not compromising on reporting performance. We managed to achieve by implementing data tiering (Hot, Warm and Cold) using NSE, Effective partitioning, Optimizing SQL queries, Implementing right access control and Data security.

MDSap TECH (March 2021 – Nov 2021)

Project: National Health Observatory (NHO)

Tools: HANA, SDI, BODS

NHO project aims to build a central data warehouse system in HANA and integrate medical domain data from all the hospitals in KSA region. These data will be useful to measure and analyze patient’s movement (inflow and outflow), bed availabilities and other KPI to provide better medical services across KSA region. This project is a part of VISION 2030.

My role was to build end to end data warehouse and reporting solutions in HANA and Power BI to track the real time hospital and service availability.

MAXIM INTEGRATED INDIA CIRCUIT DESIGN PVT. LTD (2015-2021)

Projects: GES – Data migration, PDM, SCM Rollout, Price Forecasting tool

Technologies: HANA, SLT

I have been part of various projects during my tenure at Maxim Integrated. It includes GES (legacy to SAP data migration and reporting), EDW (Enterprise Data Warehousing), PDM (Part Data Management), SCM Rollout and Price forecasting tool.

My role involved managing end to end Data for data migration for material, Bill of materials. Managing the EDW Data integrations, tracking the data quality of materials, BOM and others related data as part of PDM. Role also comprises of building data foundation layer to support SCM (JDA) forecasting.

As part of Pricer tool, I had architected and built a python framework for data ingestion for Machine learning Forecasting algorithm to synchronize the entire process from data extraction, upload the data to blob, Trigger the ML end point, Download the blob, Upload the data back to EDW and Send the file to Pricer Tool.