Design, build, and maintain scalable and efficient data pipelines .Schedule the pipelines using Apache Airflow.Implement ETL (Extract, Transform, Load) processes to clean, transform, and aggregate data for analytical or operational purposes from various sources into centralized data systems Design and optimize data models to support business requirements and analytical needs.Develop analytical dashboards using PowerBi, Tableau.Implement and manage relational (SQL) and non-relational (NoSQL) databases.Monitor data integrity and resolve data issues in collaboration with data analysts & stakeholders.Conduct performance tuning of databases, queries, data pipelines to improve throughput and latency.Collaborate with data analysts and business stakeholders to understand their needs and architect/build the data models, data acquisition/ingestion processes, and data applications to address those requirements.Communicate effectively to translate technical concepts into actionable insights for non-technical audiences.Document data pipelines, architectures, processes for knowledge sharing and future reference.Automate processes of data migration, reducing errors and increasing speed.Stay current with industry trends and best practices in data engineering and contribute to continuous improvement initiatives.Mentor junior team members and provide technical guidance on data engineering

Computer Science department HOD, managing the department consisting of 20 faculty members and over 250 students.Implemented online learning platform within the institution to foster learner engagement.Provided guidance to students in machine learning projects.Trained students in both practical and theory subjects like Database Management Systems, C Programming language, and Data Structures.