QA

Quazi AN

Bengaluru

As a Sr. Azure Data Engineer, I am driven by a strong sense of accountability and ambition to master complex data challenges, consistently delivering robust and optimized solutions. My inherent curiosity and flexible approach enable me to continuously explore new technologies and refine data architectures, ensuring high-quality and efficient outcomes.

Open to

Bengaluru · Dubai · Singapore

Work style

Hybrid

Availability

Available in 7 days

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Contact details — on requestProof of Work — on request

Experience

A

Sr. Azure Data Engineer

Artech Infosystems Private Limited (CTH-Deloitte Hyderabad) · May 2026 – Jul 2026

Not yet confirmed
T

I.T. Analyst-C2 (Azure Data Engineer)

Tata Consultancy Services (TCS) · Jul 2025 – Aug 2025

Not yet confirmed
N

Azure Data Engineer

N.V.Data Systems Private Limited · Jul 2020 – Jun 2025

Not yet confirmed
  • Designed and implemented a robust data quality framework using Azure Data Factory and Databricks for an enterprise data lake, integrating automated profiling, validation, and reconciliation across multiple data sources.
  • Built modular pipelines to run configurable data quality checks (null value rates, data type validation, referential integrity, completeness, and uniqueness) leveraging custom PySpark scripts in Azure Databricks.
  • Designed and implemented data pipelines using Azure Data Factory and Azure Databricks to process and transform raw data into refined, actionable insights, reducing data processing time by 30%.
  • Integrated data validation steps into CI/CD pipelines using Azure DevOps, enabling continuous quality assessment and end-to-end monitoring of ETL workflows, leading to a 40% reduction in data defects reaching downstream analytics.
  • Collaborated closely with data governance teams to document quality rules, validate business logic, and implement automated pre- and post-load checks for regulatory and audit compliance in Azure Synapse and SQL Data Warehouse environments.
  • Developed and maintained data integration workflows for ETL processes from diverse sources to Azure Data Lake and Azure SQL Database, supporting efficient data warehousing and analysis.
  • Collaborated with cross-functional teams to build a real-time streaming data pipeline using Azure Stream Analytics and Event Hubs, enabling real-time insights for operational analytics.
  • Optimized data storage and query performance on Azure Synapse Analytics for large datasets, improving report generation time by 20%.
  • Developed a Spark notebook in Synapse Analytics to parallelize the vector embeddings generation process, reducing processing time by up to 80%.
  • Ensured data integrity and security through Azure Role-Based Access Control (RBAC) and data encryption protocols in line with compliance standards.

Skills 0 proven through work

Also works with

Azure Synapse Analytics UsageProblem SolvingMentoring and Peer CoachingStakeholder Communication AdaptationDelegation and Work AllocationTime ManagementResource AllocationAdaptabilityCloud Migration PlanningData Transformation DocumentationSystem AnalysisProof of Concept DevelopmentTechnical DocumentationTechnical Solution DesignInventory ManagementRequirements AnalysisGoogle Cloud PlatformData MigrationApplication MonitoringEfficient SQL Data SelectionDatabase Index CreationDatabase Table CreationData ModelingParquet File Format UsageDatabase Query OptimizationData Mart DevelopmentJupyter NotebookPySparkAzure Data Lake UsageREST API Endpoint DevelopmentOracle Database AdministrationSSMS UsageMachine Learning ApplicationPower BIData Architecture DesignDatabricks UsageData TransformationMachine Data Ingestion DesignAzure Data Factory Pipeline DevelopmentAzure DeploymentETL Pipeline Development

Proof of Work

Proof of Work

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Education

Master of Technology (M.Tech), Computer Aided Structural Engineering

International Institute of Information Technology (IIIT), Hyderabad · 2017 — 2019

Bachelor of Technology (B.Tech), Civil Engineering

MIT College, BAMU University, Aurangabad, Maharashtra · 2011 — 2015

Contact details

Contact details

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