Atharva Jirafe

About Atharva Jirafe

I am a Data Engineer specializing in designing, building, and optimizing end-to-end data ecosystems across cloud platforms. I work extensively with Databricks (Apache Spark), Azure Data Factory, Snowflake, Azure SQL, and ADLS Gen2 to create scalable, secure, and high-performance data pipelines for enterprise environments.With experience across Automobile, Life Sciences, BFSI, and Transportation & Logistics domains, I focus on transforming raw, scattered data into clean, reliable, analytics-ready datasets that enable better decision-making and measurable business outcomes.I have engineered solutions involving Veeva Regulatory Vault, Denodo, Databricks, Snowflake, and ADF, where I designed orchestrated workflows, automated deployments using Azure DevOps, and built robust integration frameworks for large-scale data migration and governance. I have also applied Generative AI techniques—particularly in Life Sciences—to accelerate regulatory document processing and enhance Health Authority response efficiency.I bring a strong understanding of Azure security, Key Vault–based secret management, ACID-compliant data design, data quality engineering, and performance optimization. My focus is always on delivering reliable, secure, and future-ready data products that help organizations innovate with confidence.Certifications:Microsoft Azure Data Engineer Associate | Databricks Data Engineer Associate | Databricks Generative AI Associate

Experience

1. Packaged App Development Senior Analyst

   Accenture

   Jul 2024 — Present · Pune, IN

   Led a team of data engineers to design, develop, and deliver scalable, secure, and enterprise-grade data solutions for global Life Sciences clients.• Built and optimized large-scale ETL pipelines using Azure Databricks, ADLS Gen2, Synapse Analytics, and Denodo, enabling reliable data ingestion, transformation, and consumption.• Architected and managed CI/CD pipelines in Azure DevOps to automate deployments across multiple environments, ensuring consistency, rapid delivery, and operational reliability.• Spearheaded the migration of two critical enterprise systems with near-zero downtime, ensuring full data integrity and uninterrupted business operations.• Engineered and tuned high-performance data pipelines that reduced processing time by up to 70%, significantly accelerating analytics delivery.• Delivered data products and actionable insights supporting business operations across 180+ countries on all 7 continents.• Leveraged Generative AI capabilities to automate regulatory processes, enhancing Health Authority (HA) responses and compliance workflows within the Life Sciences domain.• Strengthened end-to-end data security and governance using Azure Key Vault, fine-grained access controls, and compliance-driven data management practices.• Collaborated closely with data architects, business analysts, and product owners to translate complex business requirements into reliable and scalable technical solutions.• Mentored junior engineers and supported the team in adopting modern data engineering, cloud, and Azure-native best practices.

Education

• DY Patil University

  Bachelor of Engineering (B.E.)

• Sri Chaitanya College of Education

  Intermediate Education