Vijayakumar Z's Linkedin Analytics

Data Engineer with a strong background in Data Processing, Analytics, and Data Warehouse Management. Skilled in developing and implementing robust data pipelines, ensuring data consistency, and driving actionable insights for organizations. Proficient in a wide array of technologies and tools including Python, SQL, dbt Cloud,Apache Spark, and AWS/Azure services. Passionate about leveraging data-driven strategies to support business objectives and drive growth. • Banking, Data Warehouse, Retail, Insurance, E-commerce, Logistics • GenAI: LLM, Azure OpenAI , GitHub Copilot, GPT-4o, Llama, ChatBot, AI/ML Data Operations, • Data Streaming and Data Integration of B2B Applications • AWS, AWS Glue, S3, Lambda, Linux • Azure Data Factory, Azure Databricks, ADLS2 • Database: Postgres, MySQL, AWS RDS, MongoDB • Data Warehouse: AWS Redshift, Snowflake • SQL, Python, Java, Shell Script, Google App Script • Spark, SparkSQL, PySprak Airflow, MQ, Kafka, Druid, CI/CD, Github, SVN, Jenkins, REST APIs, Docker • ETL Tools: Airbyte, Talend (Open Source Version), dbt (data build tool), Fivetran • Visualization tools: Tableau, Knowi, Apache Superset • Business and Data Analysis