Ajesh Kumar Mishra Email & Phone Number

I am a dedicated Data Engineer with over 6 years of experience in designing and implementing scalable data architectures across various industries, including finance, healthcare, and electric vehicle infrastructure. My expertise spans across multiple cloud platforms like Microsoft Azure and AWS, where I have built secure and efficient data pipelines, warehouses, and ETL processes.I am proficient in Python, SQL, and Snowflake, with hands-on experience in Hadoop, Kafka, and various Azure services such as Data Factory, Synapse, and HDInsights. Throughout my career, I have successfully led large-scale data migration projects, improved system performance by optimizing data workflows, and delivered actionable insights through data visualization tools like Tableau and PowerBI.My recent projects have focused on automating data integration processes, enhancing real-time analytics, and ensuring secure data governance for mission-critical applications. I thrive in dynamic, cross-functional teams and am passionate about leveraging data to drive business outcomes.

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  Full Stack Data Engineer

  Costrategix

  Feb 2019 - Present - Bengaluru, Karnataka, India

  • Designing and constructing pipelines and dataflows using Microsoft Azure-based services.• Responsible for developing Azure workflows to process raw data and seamlessly load it into cloud data warehouses.• Ensuring successful solutions deployment to staging and production environments following meticulous review and rigorous testing procedures.• Competently administering and managing Snowflake cloud data warehouse, optimizing its performance and efficiency.• Crafting SQL queries and stored procedures within Snowflake to execute a wide range of tasks and operations.• Diligently maintaining and managing databases and code repositories for streamlined project operations.• Proficiently constructing complex SQL queries to facilitate various data operations and transformations.• Utilizing Python programming to develop code for diverse data management activities, enhancing automation and efficiency.• Demonstrating competence in managing SQL databases across multiple servers for seamless data handling and retrieval.