Mohit Rathor Email & Phone Number

Noida, Up, In

Noida, Uttar Pradesh, India

Experienced Data Engineer proficient in Spark, AWS, Python, SQL, Snowflake, Kafka, Docker, Hive, Shell Scripting, MySQL, Airflow,Kubernetes and Delta Lake. Skilled in designing, implementing, and optimizing end-to-end data pipelines. Proven expertise in cloud-based data storage, real-time streaming, and ETL processes. Adept at collaborating with cross-functional teams to deliver high-quality, scalable data solutions. Strong problem-solving and communication skills, with a track record of driving data-driven insights.

Noida, Uttar Pradesh, India

🔍 As a Senior Data Engineer with a rich background in data processing and analytics, I am dedicated to turning complex datasets into valuable business insights. Currently at Happiest Minds, utilizing Python, Spark, and AWS to drive strategic decisions. 🛠️📈My expertise spans across databases like MySQL, SQL Server, and Postgres, and data warehouses such as Redshift and Snowflake. I am adept at creating visualizations with Power BI that help businesses make informed decisions.

Noida, Uttar Pradesh, India

In December 2021, I was promoted to Senior Data Engineer, where I oversaw the ingestion of streaming and file data into Kafka topics, leveraged Spark Streaming to add keys, clean, and mask sensitive data, managed Kubernetes clusters, facilitated the migration of data from on-premises to AWS, and stored the processed data as Delta tables in AWS S3.

Noida, Uttar Pradesh, India

At Global Payments, I began my career as a Data Engineer in May 2020 and advanced to Senior Data Engineer by June 2023. In this role, I managed the ingestion of IMS and file data into Kafka topics, utilizing Spark Streaming to add keys, clean, and tokenize data before storing it as raw Delta tables in AWS S3. I leveraged DBT to transform raw Delta tables into refined and extracted Delta tables, automating job scheduling with Airflow. Additionally, I conducted ETL processes on refined Delta tables using DBT to generate reporting tables for dashboard creation, ensuring seamless data transformations aligned with business requirements. My work involved utilizing technologies such as Kafka, Spark Streaming, DBT, AWS S3, Delta Lake, and Airflow to optimize data pipelines and support data-driven decision-making.

Cochin Area, India

At Cognizant Technologies Solutions, I worked as a Spark Developer from January 2019 to May 2020, managing ETL processes for automobile and financial data projects. I sourced and transformed data from MySQL and SQL Server using Spark and AWS services, developed reporting systems with Hive scripts, and orchestrated workflows with Oozie. Utilizing technologies such as Spark, Scala, AWS Glue, Hive, Athena, Datalake, shell scripting and visualization tools, I optimized data pipelines and ensured robust documentation and collaboration through Git, JIRA, and Confluence.

Chennai, Tamil Nadu, India

I got Promotion to Senior Software Engineer position in Hexaware technologies ltd., I worked on the development of the Real-Time Fleet Performance and Tax Calculation System. In this role, we built a real-time system to track fleet performance and calculate fuel and mileage taxes, providing customizable reports and real-time insights to support informed business decision-making. Utilizing technologies such as Spark, AWS, Athena and SQL, I optimized data pipelines and ensured efficient data processing, enhancing operational efficiency and delivering actionable analytics for strategic business initiatives.

Sipcot It Park, Siruseri

I began my professional journey at Hexaware Technologies Pvt. Ltd. as a software engineer in April 2015, where I spearheaded the Unified Data Lake Platform for Retail Data project. In this role, I developed a comprehensive Data Lake that provided retailers with a unified platform to integrate and analyze both online and offline customer data, including products, purchases, orders, and employee details. This initiative streamlined data integration processes and enhanced analytical capabilities, enabling retailers to make informed business decisions and optimize their operations effectively.