Sridhar V.

Data Engineer

Sridhar er en dataingeniør med over 11 års erfaring, spesialisert på dataintegrasjon, stor dataingeniør, forretningsanalyse og skyteknologier.

Hans ekspertise spenner over datauttrekking, bearbeiding og bygging av maskinlæringsmodeller, som driver effektiv datadrevet beslutningstaking på tvers av ulike roller, inkludert dataingeniør, analytiker og forretningsanalys utvikler.

I tillegg til sin tekniske ekspertise, er han svært dyktig i å lage interaktive dashbord og visualiseringer ved hjelp av Power BI og Tableau, som bidrar til å kommunisere datainnsikt effektivt. Kjent for sin samarbeidsinnstilling, leverer Sridhar konsekvent oppdrag til rett tid, noe som gjør ham til en pålitelig ressurs for ethvert team.

Hovedekspertise
  • Apache Spark
    Apache Spark 5 år
  • Azure Data Factory
    Azure Data Factory 4 år
  • CSV 11 år
Andre kunnskaper
  • Tableau
    Tableau 3 år
  • Git
    Git 3 år
  • Azure Synapse
    Azure Synapse 2 år
Sridhar
Sridhar V.

United Kingdom

Kom i gang

Utvalgt opplevelse

Arbeidserfaring

  • Senior Consultant

    Capgemini - 5 years 10 months

    • Successfully led the migration of ETL pipelines from SSIS to Azure Data Factory (ADF), ensuring a smooth transition and improved data integration processes;

    • Identified and implemented optimizations for existing queries, enhancing performance and efficiency of data retrieval and processing;

    • Utilized Databricks notebooks with PySpark and SparkSQL to analyze data effectively, enabling insightful data-driven decision-making;

    • Developed Azure Databricks notebooks to retrieve data from various social APIs, including FB, Twitter, YouTube, and Google Analytics;

    • Automated the ETL process for loading historical data from FB and Instagram APIs, resulting in significant time savings of 500 hours by eliminating manual effort;

    • Built ADF pipelines to execute Databricks pipelines on a scheduled basis, ensuring timely and accurate data processing;

    • Created dataflows using ADF V2 pipelines, facilitating seamless data transformation and integration;

    • Collaborated with clients to understand and analyze requirements, ensuring alignment with project objectives and delivering tailored solutions;

    • Identified and resolved issues reported by downstream applications, ensuring data integrity and smooth data flow;

    • Automated the data load process, reducing manual intervention and improving efficiency;

    • Enhanced data load performance from APIs, implementing strategies to optimize data retrieval and processing for downstream applications;

    • Provided suggestions and approaches to load data faster for downstream applications, optimizing overall data processing and delivery;

    • Leveraged Delta tables in Databricks for performing upsert operations, ensuring data consistency and integrity;

    • Managed offshore teams, providing BAU support, overseeing stakeholder management, and producing process and technical documentation.

    Teknologier:

    • Teknologier:
    • Azure Data Factory Azure Data Factory
    • Azure Synapse Azure Synapse
  • Lead IT

    Deloitte India (Offices of the US) - 3 months

    • Demonstrated solid analytical skills by understanding requirement specification documents and developing SQL queries accordingly;

    • Developed efficient and optimized stored procedures based on the requirements, ensuring adequate data processing and retrieval;

    • Conducted proof of concept (POC) to assess the feasibility and benefits of migrating the existing solution to Azure, providing valuable insights for decision-making;

    • Identified and implemented performance improvements in existing stored procedures and SQL functions, enhancing query execution speed and overall system efficiency;

    • Designed and created a reusable SSIS (SQL Server Integration Services) package to load data iteratively, streamlining the data loading process and improving data integration capabilities.

  • Senior Software Engineer

    Hilti Asia IT Services - 1 year

    • Building an Azure-based data warehouse and database platform for fast analysis and decision-making;

    • Responsible for ELT processes, extracting data from SAP HANA, SAP BW, and SAP ERP to load into the database;

    • Utilize Power BI for data visualization, providing valuable insights from the extracted data;

    • Design and optimize data models and structures for efficient storage and retrieval;

    • Ensure data quality through cleansing, transformation, and enrichment activities;

    • Monitor and troubleshoot database performance, resolving issues as needed;

    • Collaborate with stakeholders to understand reporting and analytical needs;

    • Stay updated with industry trends and incorporate new technologies for improved data analysis.

    Teknologier:

    • Teknologier:
    • Azure Data Factory Azure Data Factory
    • Azure Synapse Azure Synapse
  • IT Analyst

    Tata Consultancy Services - 5 years 6 months

    • Developed ETL packages in SSIS for efficient data extraction, transformation, and loading;

    • Gathered requirements from stakeholders to ensure a clear understanding of business needs;

    • Designed and built Tabular and Multi-Dimensional SSAS cubes for comprehensive data analysis;

    • Created visually appealing Power BI reports and dashboards to provide valuable insights;

    • Conducted data profiling and cleansing to maintain data quality and integrity;

    • Optimized performance of ETL packages, SSAS cubes, and Power BI reports;

    • Stayed updated with the latest ETL, SSAS, and Power BI technologies;

    • Provided guidance and support to junior team members;

    • Collaborated with stakeholders to understand evolving business needs and make necessary adjustments to ETL processes, SSAS cubes, and Power BI reports.

Utdannelse

  • Standalone courseData Analyst

    Udacity · 2017 - 2018

  • BSc.Electronics and communication Engineering

    Gandhi Institute of Engineering and Technology · 2007 - 2011

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