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Anil Babu MeenapatiAB

Anil Babu Meenapati

Azure Data Engineer

€600/day
Paris, FR
3-7 years

Average response time: 1 hour

About Anil Babu

Azure Data Engineer with 5 years of experience designing and building scalable cloud data platforms on the Microsoft Azure ecosystem. Specialized in Azure Data Factory, Azure Databricks, PySpark, SQL, and ETL/ELT pipeline development for enterprise-grade data integration and analytics solutions.

Experienced in developing robust batch and real-time data pipelines, optimizing large-scale data processing workflows, and modernizing legacy data infrastructures into cloud-native architectures. Strong background in data warehousing, performance optimization, automation, and data platform reliability.

Worked with cross-functional teams to deliver data-driven solutions for analytics, reporting, and business intelligence initiatives. Passionate about building efficient, scalable, and maintainable data systems that support business growth and operational efficiency.
  • English

    Native or bilingual

Can work on-site
Paris (up to 50km), Grenoble (up to 10km), Nice (up to 10km), Toulouse (up to 10km)

Experience

  • VH Global Technologies Pvt Ltd
    Data Engineer
    DIGITAL AND IT
    January 2021 - Today (5 years and 5 months)
    Hyderabad, India
    5 years of experience as an Azure Data Engineer designing and developing cloud-based data solutions
    Strong expertise in Azure Data Factory (ADF) for ETL/ELT pipeline development and orchestration
    Hands-on experience with Azure Databricks, PySpark, and Apache Spark for large-scale data processing
    Experience working with Azure Synapse Analytics and Azure SQL Database for data warehousing solutions
    Proficient in Azure Data Lake Storage (ADLS) for handling structured and unstructured data
    Skilled in SQL, T-SQL, and Python for data transformation, analysis, and automation
    Developed scalable batch and real-time data pipelines for enterprise applications
    Experience in data migration projects from on-premises systems to Azure cloud platforms
    Strong understanding of data modeling, data cleansing, and data integration techniques
    Worked with REST APIs and multiple data sources for seamless data ingestion
    Experience implementing CI/CD pipelines using Azure DevOps for automated deployments
    Knowledge of performance tuning, pipeline optimization, and cost-efficient cloud architecture
    Collaborated with business analysts, developers, and stakeholders to deliver data-driven solutions
    Familiar with data governance, monitoring, security, and best practices in cloud environments
    Experience integrating reporting and analytics solutions with Power BI dashboards and reports

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