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lakshman_balaji

Lakshman Balaji

@lakshman_balaji

Data Engineer

Italie
Anglais, Italien
Certaines informations sont présentées en anglais.
À propos de moi
Politecnico di Milano (PoliMi) alumnus with 4+ years of experience in Data & Analytics, specializing in SAP BW, SAP Datasphere, and SAP Analytics Cloud (SAC). Experienced in designing data models, developing reporting solutions, and delivering actionable business insights. Additionally, I have 1 year of hands-on experience with Databricks, Azure Data Factory (ADF), and Power BI, building data pipelines, ETL processes, and interactive business analytics dashboards. I help organizations transform complex data into scalable, data-driven solutions that support better decision-making.... Plus d’infos

Compétences

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lakshman_balaji
Lakshman Balaji
hors ligne • 

Voir mes services

Conseil en ingénierie des données
I will create interactive dashboards and data pipelines for your business
De300 $US / projetPlus de détails

Expérience professionnelle

SAP

Global IT SAP Planning & Analytics Solution Owner

SAP • Temps plein

Jun 2023 - Present • 3 yrs 1 mo

At Campari Group, I serve as the Solution Owner for SAP Planning & Analytics, leading the design, development, and governance of enterprise planning and reporting solutions. I work closely with business stakeholders to deliver scalable analytics capabilities using SAP BW, SAP Datasphere, and SAP Analytics Cloud (SAC), enabling data-driven planning, forecasting, and decision-making across global business functions. Copilot said: For the past year, I have been working hands-on with Azure Data Factory (ADF), Databricks, and Power BI, supporting an end-to-end hybrid data architecture. My responsibilities include extracting data from SAP systems, managing ETL and data modeling processes in SAP Datasphere, integrating external data sources through Databricks, orchestrating data pipelines using ADF, and delivering business insights through interactive Power BI dashboards. This experience has strengthened my expertise across the entire data and analytics lifecycle, from data ingestion to executive reporting.