Hi! I'm Ankit, a data engineer with a knack for turning raw data into actionable insights. With 3+ years of hands-on experience in the field, I thrive on building robust data pipelines and crafting innovative solutions to complex data challenges. Have worked on Azure cloud, Azure data factory, Azure databricks, Azure logic apps, SQL and python. Data Pipeline Development: Designing, implementing, and optimizing scalable data pipelines using tools like Apache Spark to ensure seamless data flow and processing efficiency.Data Modeling and Warehousing: Crafting efficient data models and architecting data warehouses using technologies such as SQL, NoSQL, and cloud-based platforms like Azure Synapse Analytics.ETL (Extract, Transform, Load): Streamlining the ETL process to extract valuable insights from disparate data sources, transform them into a usable format, and load them into the target systems.Data Quality and Governance: Implementing data quality checks, ensuring data integrity, and adhering to best practices in data governance to maintain high-quality, reliable data assets.Expertise : Azure databricks, Azure data factory, Azure logic apps, Azure key vault, Azure data lake, delta lake, Apache spark, Sql, Python, Data modelling, Data warehousing, Data pipeline development, Apache airflow and SnowflakeI thrive in dynamic environments where I can continuously learn and apply new technologies to solve real-world problems.