Tushar S.

AI Researcher

New Delhi, Delhi, India14 yrs 3 mos experience

Most Likely To Switch

Key Highlights

14+ years in Data Architecture and Analytics.
Expert in Azure Cloud data solutions.
Proven track record in Machine Learning and Data Modelling.

Stackforce AI infers this person is a Data Solutions Architect with expertise in SaaS and Cloud Data Architecture.

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Skills

Core Skills

Data ArchitectureAzure - Adf, Databricks, Synapse

Other Skills

ADLSAS400 AdministrationAzure Data FactoryAzure DatabricksAzure SQL DatabaseAzure Synapse AnalyticsBig DataBusiness AnalysisData MigrationData VisualizationGraph DatabasesIBM iSeriesITILMachine LearningManagement

About

14+ years total work experience into areas including Consulting, Data Architecture, Data Warehousing, Data Modelling, Data Analytics, Machine Learning (MLOps), Architecting & Implementing Data Solutions on Azure Cloud using services like Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Synapse Analytics, ADLS, Logic Apps, Azure Analysis Services and Power BI. Experience in designing IT strategy, technology roadmap and data management framework for Data Analytics initiatives for multiple engagements. Core Competence: # Data Architecture. # Data Modelling. # Azure - ADF, Databricks, Synapse. # Python/PySpark/SQL. # Power BI. # Machine Learning.

Experience

Ltimindtree

Data Solutions Architect

Feb 2023 – Present · 3 yrs 1 mo · Noida, Uttar Pradesh, India · Hybrid

Define the technical solution architecture by comprehending the business requirements document.
Create an end-to-end solution architecture for product using Azure services, including the flow of data, semantic layers, and the presentation layer (PBI/Webapp), and specify the Azure components to be provisioned.
Develop a data sourcing technical strategy to handle various types of data sources for the product.
Formulate a comprehensive security strategy for data transfer and data access.
Provide approval for the Logical Data Model (LDM) to ensure comprehensive coverage from a technical and scalability perspective.
Deliver a design assimilation to the Delivery team, explaining best practices and the solution architecture for the build team.
Design the incremental data refresh strategy for data processing.
Offer guidance on best practices for the semantic layer in terms of sourcing and incremental refresh.
Review and provide technical approval for the Data Model Review (DMR), end-to-end Object Flow Diagram
Review and approve code deliverables, including ADLS folder structure, ADF pipelines, ADB notebooks, Semantic cubes code, and partitions, ensuring adherence to best practices for objects.
Validate Azure Analysis Services (AAS), Power BI VertiPaq Analysis Services (VPAX), and Tabular Editor against best practices and provide approval for QA loads.
Continuously monitor Azure costs and provide feedback for optimization.