10 Years experience as a Data Engineer with experience in building ETL/Data pipelines with cloud technologies
4 years of extensive experience in designing developing and implementing scalable data pipelines using Data bricks to ingest transform and store structured and unstructured data.
5 years experience in programming languages such as Python/PySpark and query languages like SQL
5 years experience in building metadata driven data ingestion pipelines using ADF
5 years experience in analyzing optimizing and tuning existing data pipelines for performance reliability and efficiency
2 years experience in implementing MLOps practices to streamline the deployment and management of machine learning models.
2 years experience in utilizing Apache Airflow for job orchestration and workflow management
Familiarity with CI/CD tools and practices for automating the deployment of data engineering solutions.
Experience in collaborating with data scientists analysts and other stakeholders to understand business requirements and translate them into technical solutions
Knowledge/Experience in implementing security measures and standard processes to ensure data privacy and compliance with regulatory standards
Indepth knowledge of data engineering concepts ETL processes and data architecture principles.
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