Responsibilities
Analyze the business requirements and needs of the organization.
Architect and design robust, scalable, and secure enterprise data platform leveraging Databricks and various cloud services on Microsoft Azure.
Lead implementation of advanced data analytics solutions utilizing Databricks and Delta Lake architectures to extract, transform, and load (ETL) data.
Leverage Databricks to perform data engineering, artificial intelligence and machine learning tasks.
Collect, process, and analyze large datasets from various sources within the aviation domain (e.g., flight data, baggage information, weather data, operational logs etc.).
Perform data quality checks and ensure data accuracy and consistency.
Identify trends, patterns, and anomalies in data to provide valuable insights and support business decision-making.
Contribute to the development of data models and database designs.
Document data sources, data flows, and analytical processes.
Stay up to date with the latest trends and technologies in data analysis and the aviation industry.




Create insightful and interactive data visualizations and reports using tools like Power BI to communicate findings to non-technical audiences.
Define and govern enterprise-wide cloud architecture standards, security protocols, and operational best practices.
Developing and implementing strategies to connect different systems, ensuring they can share data and functionality
Defining and managing API that allow different software applications to communicate with each other
Defining and managing asynchronous data exchange between applications and as a part of data pipelines
Designing real-time streaming pipelines for IoT time-series data
Diving deep into the details to solve complex technical challenges
Ensure the platform is secure and adheres to best practices for data protection and privacy.
Ensuring high data quality and integrity to avoid operational failures and improve system accur

📌 Enterprise Data Architect Ahmedabad
🏢 Adani
📍 Ahmedabad