About

Hariprasad Ramachandran is an experienced Data Engineer with a passion for working with the latest technologies. With over 6 years of experience in Data Engineering, Data Warehousing, Data Migration, and Analytics, Hariprasad has worked across various industries for European companies such as Electrolux and Astrazeneca in a fast-paced environment. Currently, Hariprasad is working as an Azure Data Engineer at tiger analytics, where he is responsible for developing data pipelines using the bronze, silver, and gold design paradigm (Lakehouse architecture) to prepare the data for machine learning teams to consume. He is also responsible for ingesting data from multiple data sources using Azure Data Factory and building tables in datalake using Azure Databricks. Hariprasad's expertise lies in designing, developing, orchestrating, scheduling, and monitoring databricks notebooks for historical and incremental workloads. Hariprasad is proficient in using leading technologies like Python, SQL, PySpark, ETL Pipelines, Data Migration, Data Warehouse, Data Modelling, Apache Spark, Apache Hadoop, Apache Kafka, Spark Streaming, Hive, PostgreSQL, Oracle, Azure SQL Database, AWS, Azure, DeltaLake, Databricks, Azure Data Factory, Snowflake, Snaplogic, Informatica Power Center, PowerBI, Google Analytics, Machine Learning, Requirement Gathering and Analysis, Airflow, Unix Shell Scripting, Azure Logic Apps, Azure DevOps, Docker, Git, Jira, and Agile. Hariprasad has a Bachelor's degree in Mechatronics Engineering from Kongu Engineering College. He is also proficient in Data Engineering, Azure, Databricks, SQL, Spark, Python, DevOps, ETL, AWS, ML, Hadoop, Snowflake, Apache Airflow, Data Warehouse, Docker, Kafka, GCP, Salesforce, Search, Apache Hive, Integration, Big Data, MySQL, and Web. Overall, Hariprasad is a skilled Data Engineer with a strong passion for working with the latest technologies and delivering high-quality solutions. He is currently looking for Data Engineer roles in Europe.