05.03.2026 aktualisiert

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100 % verfügbar

Senior Data Architect & Engineer with Azure Cloud Expertise

berlin, Deutschland
Nur Remote
Post Graduate Diploma in Computer Applications (PGDCA)
berlin, Deutschland
Nur Remote
Post Graduate Diploma in Computer Applications (PGDCA)

Profilanlagen

HexaBase GmbH - Suraj Chandran.pdf

Über mich

Azure Data Architect & Data Engineer specializing in scalable data platforms, automated pipelines, and cloud data warehousing. Helping organizations transform complex data into reliable, high-performance analytics solutions.

Skills

Data AnalysisArchitekturAutomatisierungMicrosoft AzureBusiness Intelligence DevelopmentBig DataCloud ComputingCloud-SpeicherProfilingComputerprogrammierungDatenbankenData ArchitectureInformation EngineeringData GovernanceData IntegrationETLDatenmanagementData TransformationDatenqualitätDatensystemeData WarehousingIngenieur-designprozesseProgrammierwerkzeugeDistributed Data StoreEnterprise Resource PlanningSteuerungMicrosoft Sql-ServerPerformance-TuningAbfrageoptimierungMicrosoft Power BIAzure Data LakeStored ProcedureSQLSQL Server Analysis ServicesStandardisierungLagerverwaltungTortoisesvnTransact-SqlVirtual StudioParquetModellierungsfähigkeitenDatenverarbeitungAzure Data FactoryDatenbank-OptimierungDatenbankleistungGitData LakePySparkSSMSDesign-entwicklungAzure Synapse AnalyticsSoftware Version ControlDaten-PipelineDatabricks
Professional Summary

Data Architect and Data Engineer with strong experience in designing and implementing scalable cloud-based data platforms using Microsoft Azure. Specialized in data integration, data warehousing, and automated data pipelines using Azure Data Factory, Databricks, PySpark, and Synapse Analytics.

Extensive background in SQL-based systems and database performance optimization, with a focus on building reliable, efficient, and scalable data architectures. Experienced in migrating on-premise data platforms to modern cloud environments and enabling data-driven analytics and reporting.

Core Competencies

Data Architecture & Engineering
  1. Design and implementation of scalable data architectures
  2. Data warehouse modeling and cloud data platform design
  3. Development of automated ETL and data processing pipelines
  4. Migration of on-premises database systems to Azure cloud platforms

Cloud Data Platforms
  1. Data integration using Azure Data Factory
  2. Large-scale data processing with Azure Databricks and PySpark
  3. Data warehousing with Azure Synapse Analytics and Delta Lake
  4. Cloud storage architecture using Azure Data Lake (ADLS Gen2)

Database Engineering
  1. Advanced SQL development using T-SQL and SQL Server
  2. Query optimization and database performance tuning
  3. Stored procedures, indexing strategies, and execution plan analysis
  4. Troubleshooting and resolving database bottlenecks

Data Integration & Analytics
  1. Integration of ERP and enterprise systems into centralized data warehouses
  2. Data transformation, cleansing, and standardization
  3. Supporting reporting and analytics platforms such as Power BI
  4. Data quality validation and governance processes

Technical Stack

Programming & Databases
SQL Server, T-SQL, Stored Procedures, SSAS, Query Optimization, Execution Plan Analysis

Cloud & Data Platforms
Azure Data Factory, Azure Databricks, PySpark, Azure Synapse Analytics, Delta Lake, Azure Data Lake Storage (ADLS)

Data Engineering & Warehousing
ETL Pipelines, Data Warehouse Design, Parquet, Cloud Data Warehousing

Development Tools
Git, VSTS, Tortoise SVN, SQL Server Management Studio, Query Profiler

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2021

Sprachen

Englischverhandlungssicher

Projekthistorie

Data Architect

HexaBase
Development in Azure technologies including Azure Databricks, Azure Synapse, and ADF. Collaborating with stakeholders to support large-scale financial audit automation.

Associate Data Architect

Medical Sector
End-to-end data pipeline development using ADF, PySpark, and Synapse to automate workflows for marketing campaigns. Collaborated with data science teams for custom audience segmentation.

Principal Solution Engineer

Health Sector
Developed Azure-based data pipelines using Databricks and PySpark for large-scale data processing and reporting.

Technical Lead

Tech Sector
Migrated SQL-based systems to Azure Data Lake and Data Bricks for audit automation. Developed Delta Lake solutions and designed ADF pipelines for data integration.

Team Leader - Database

Marine Sector
Led system performance optimization, built database jobs for automation, developed BI modules using Azure technologies, and provided SQL training to technical teams.

Tech Lead

Tech Sector
Designed and developed complex T-SQL scripts for data warehouse projects. Troubleshot and optimized database objects to improve system performance.

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