Altamas Khan

Consultant

Gurugram, Haryana, India5 yrs 2 mos experience

Key Highlights

5+ years of experience in Azure Data Engineering.
Expertise in Medallion architecture and scalable data warehousing.
Proven track record of optimizing ETL/ELT processes.

Stackforce AI infers this person is a Data Engineering expert in the Automobile industry with a focus on scalable data solutions.

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Skills

Core Skills

Data EngineeringData Warehousing

Other Skills

ADLS Gen2Apache SparkAvailabilityAzure Active DirectoryAzure Cosmos DBAzure Data FactoryAzure Data LakeAzure DevOpsAzure Key VaultAzure Logic AppsAzure SQL ServerData AnalyticsData FlowData ModelingData Pipelines

About

Azure Data Engineer with 5+ years of experience in Azure Data Factory, Microsoft Fabric, Synapse Analytics, PySpark and Databricks, with deep expertise in the automobile industry. Specializing in Medallion architecture, scalable data warehousing, and ETL/ELT optimization, collaborating with cross-functional teams to drive data-driven decision-making. Skilled in Data Pipelines, Governance, Security, and Availability, ensuring seamless data flow and reliability. Passionate about tackling complex challenges with evolving technologies in dynamic domains.

Experience

Deloitte

Consultant

Jul 2025 – Present · 8 mos · Gurugram, Haryana, India · Hybrid

Azure Data Engineer

Azure Data FactoryMicrosoft FabricSynapse AnalyticsData PipelinesGovernanceSecurity+3

Techmax technologies

Azure Data Engineer

Jan 2023 – Jul 2025 · 2 yrs 6 mos · Kochi, Kerala, India · On-site

Led the design and architecture of scalable data infrastructure using Medallion architecture, enhancing lakehousing and data warehousing efficiency.
Developed data integration pipelines using Azure Data Factory, Fabric Dataflow Gen 2, and Synapse notebooks, enabling seamless data flow into Azure Data Lake and Warehouse.
Developed and optimized Azure Data Factory and Microsoft Fabric pipelines, achieving a 50% reduction in processing time and a 40% cost savings.
Automated manual workflows using Azure Logic Apps and Data Factory, improving efficiency and reducing operational overhead.
Designed and enforced CI/CD pipelines using Azure DevOps and GitHub Actions, automating deployment and testing.
Monitored database performance, tuned indexes, and optimized query plans for scalability.
Implemented RBAC, encryption, and network security measures, ensuring compliance with ISO 27001 and organizational policies.
Collaborated with data scientists and analysts to improve data accessibility and reporting accuracy by 30%.
Created data models, Qlik BI reports, dashboards, and visualizations, providing key stakeholders with data-driven insights.
Onsite Experience- Qatar (Automobile Client) - Jan 2024
Designed and implemented a scalable data warehousing solution, optimizing end-to-end data management—from extraction to reporting. Ensured data quality, Security, availability, governance, and monitoring while enabling real-time insights via Power BI.
Technologies used: Azure Data Factory, Azure SQL Server, ADLS Gen2, Azure Active Directory, Power BI.