Suraj Mishra — Operations Associate

As a passionate Data Engineer with over 6 years of experience with certification in Databricks professional, Associate, Microsoft fabric , I specialize in developing and implementing end-to-end data solutions that drive business insights and optimize operations. My expertise lies in building robust data pipelines, processing large datasets, and leveraging cutting-edge technologies to provide actionable insights. I am well-versed in programming languages, algorithms, and a variety of data engineering tools, always eager to learn and apply new concepts. Core Competencies & Experience: Data Pipeline Development: Expertise in creating end-to-end data pipelines, ensuring stakeholders have seamless access to visualized, actionable data for better decision-making. Cloud & Data Engineering: Proficient in using Azure Data Factory, Databricks, Azure SQL, Azure Data Lake Storage, spark declarative pipeline and other Azure services to preprocess raw data, transform it into its purest form, and deliver high-quality data marts and data hubs for multiple clients. Data Warehouse Architecture: Architecting scalable and efficient data warehouses for historical data visualization, leveraging Azure databricks for optimal storage and management of large datasets. Product Development & Integration: Led the development of a data staging product that supports 35+ clients in managing their data. Integrated this product with CRM platforms like Salesforce Service Cloud, Salesforce, Snowflake , file based system, Veeva CRM and other data warehouses. Pharma Data Expertise: Managed and processed complex pharma datasets, patients transaction and claims including Sales Data, CRM Data, and Ad-hoc Data for over 20+ clients, ensuring seamless data flow and delivery of insights. Advanced Analytics & AI/ML: Strong background in Data Analytics and AI/ML techniques for both structured and unstructured data, driving actionable insights that contribute to business. Batch Pipeline Orchestration: Skilled in creating batch pipelines using Apache Airflow, ensuring smooth, automated workflows for large-scale data processing. CI/CD for Data Pipelines & Models: Expertise in building CI/CD pipelines to automate the deployment of data pipelines and data models, ensuring reliable and efficient data operations. Testing & Data Quality: Experienced in creating testing datasets for DataFactory pipelines, pytest for function and Azure Data Models to ensure data integrity and high-quality outputs.

Stackforce AI infers this person is a Data Engineering expert in Healthcare analytics with a focus on scalable data solutions.

Location: Gurugram, Haryana, India

Experience: 6 yrs 5 mos