Ashish Trada

Azure Data Engineer @Genetec

Designed and implemented data pipelines using Azure Data Factory to orchestrate and automate data movement, transformation, and loading processes.• Implemented and optimized Spark jobs and notebooks to perform complex data transformations, aggregations, and machine learning tasks• Designed and implemented data warehousing solutions using Azure Synapse Analytics, including schema design, partitioning strategies, and query optimization• Managed Azure SQL Database instances, including provisioning, configuration, and monitoring of database performance and health• Experienced in designing and implementing data ingestion pipelines, utilizing Azure Data Factory, Azure Databricks, or other tools to efficiently ingest data from various sources such as databases, APIs, and streaming platforms• Accomplished in data modeling techniques and practices, with the ability to design and implement efficient and scalable data models to support analytical and operational requirements• Advanced proficiency in PySpark for distributed data processing and analytics, leveraging Apache Spark\'s capabilities to perform complex data transformations, aggregations, and machine learning tasks at scale• Implemented data lake solutions using Azure Data Lake Storage Gen2 for scalable storage and analytics of structured and unstructured data• Designed and implemented globally distributed NoSQL databases using Azure Cosmos DB for scalable and high-performance applications• Utilized Azure Repos for version control and Azure Pipelines for building, testing, and deploying data pipelines and applications• Set up monitoring and logging using Azure Monitor and Azure Log Analytics to track performance metrics, detect anomalies, and troubleshoot issues in data pipelines and systems• Implemented data security measures such as encryption, access control, and auditing in Azure services to ensure compliance with regulatory standards