Abhishek Fulzele

As a dedicated data engineer, collaboration is key in delivering personalized content solutions for CVS customers. Working closely with data scientists and business teams, we leverage expertise in Databricks, Airflow, and Snowflake to optimize data workflows and ensure efficient data processing and analysis. Additionally, our contributions extend to A/B testing initiatives, enabling data-driven experimentation to measure and improve the effectiveness of personalized content strategies. Together, we drive data-driven insights that enhance the customer experience and achieve business objectives.

During my tenure at CRISP, I excelled in handling and processing large volumes of data by leveraging Azure Data Lake and ingesting it into Azure Delta lakes. To automate and optimize data workflows, I designed and implemented ETL pipelines using Azure Data Factory, ensuring seamless execution through the use of triggers. To provide stakeholders with insightful reports, I utilized the powerful Databricks platform, employing a combination of Python, SQL, and PySpark. Leveraging SQL, I performed advanced data manipulations and optimizations, enabling efficient analysis and accurate results. To streamline report generation, I automated the process using Azure Data Factory, scheduling reports based on defined frequencies. This allowed stakeholders to access up-to-date information, facilitating informed decision-making and driving business success. Overall, my proficiency in managing data pipelines, utilizing SQL for data manipulations, and automating report generation has contributed to efficient data processing, improved analytics, and enhanced stakeholder experiences at CRISP.

CORE SUBJECTS: • Knowledge Based Systems • Big Data Analytics • Visual Analytics