Akash Mishra

About Akash Mishra

Hi! I’m Akash Mishra, a passionate Data Engineer with 4+ years of experience in building scalable data pipelines, transforming raw data into actionable insights, and driving data reliability across domains like banking and transportation & logistics. I began my career at Infosys, where I worked on multiple client projects as a Data Engineer. I focused on SQL, Python, Snowflake, and Azure Data Factory, building end-to-end ETL workflows and integrating data for analytics and reporting. My contributions earned me awards like the Certificate of Excellence and Insta Awards for project delivery under tight timelines. Currently, I’m working at Accenture, handling large-scale data engineering responsibilities for a logistics and Shipment client. My work involves:Transforming raw data using Databricks (PySpark & SQL) and creating Transformation Notebooks.Designing Delta Lake tables for use in Power BI reportsBuilding ETL workflows in Azure SynapseImplementing CI/CD pipelines via Azure DevOps, reducing manual deployments by 50%Monitoring and resolving production issues like data mismatches and pipeline failuresManaging Azure Data Lake, optimizing storage and cost via retention policies I was recently honored with a Certificate of Appreciation from client for my contributions to Azure-based data products, which helped enable a robust analytics environment and improve customer experience. Tech Stack:Databricks • PySpark • SQL • Azure Synapse • Azure Data Lake • ADF • Snowflake • DBT • Power BI • Jinja SQL • Azure DevOps I’m driven by data quality, performance, and automation — always striving to create solutions that are both technically sound and business-impactful. Let’s connect and explore how we can use data to drive better decisions and innovation!

Experience

1. Senior Data Engineer

   Accenture

   Dec 2024 — Present

   Developed ETL workflows in Azure Synapse for ingesting and standardizing data from multiple logistics sources,enabling reliable data flow and reducing manual release efforts by 50% through automation. Transformed raw data in Databricks using PySpark and SQL, applying complex business logic and data cleansingrules to prepare curated datasets for analytics and reporting, improving data reliability by 35%. Designed Delta Lake tables, powering key Power BI dashboards that support real-time logistics insights andexecutive decision-making. Proactively monitoring and troubleshooting production issues including pipeline failures, data mismatches, andzero-file loads, ensuring high data availability and no downtime. Supported the management and maintenance of Azure Data Lake, implementing best practices for data lifecycleand retention policies to optimize storage usage and reduce overall storage costs.

Education

• JVM SHYAMALI,RANCHI

  CLASS 10TH

  2005 — 2015

• JVM SHYAMLI,RANCHI

  CLASS 12TH

  2015 — 2017

• PES University

  Bachelor of Engineering, Computational Science

• PES University

  Bachelor of Engineering - BE, Computer Science

  2017 — 2021