Rohit Kumar Rathore

Data Engineer

Agra, Uttar Pradesh, India3 yrs 10 mos experience

Key Highlights

Expert in optimizing data pipelines for operational efficiency.
Proficient in leveraging cloud platforms for scalable data infrastructure.
Strong background in data modeling and analytics.

Stackforce AI infers this person is a Data Engineering expert with a focus on logistics and fintech industries.

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Skills

Core Skills

Data EngineeringData Pipeline DevelopmentData Analysis

Other Skills

Data Build Tool (DBT)GitAzure DatabricksAPI GatewaysKafkaJira webhooksData ArchitectureData MaintenanceDimensional ModelingDatasetsOptimizationAmazon EC2Interpersonal SkillsDistributed ComputingMongoDB

About

As a Data Engineer with more than 3 years of experience, I specialize in managing large-scale data processing and optimizing complex computational pipelines. Skilled in handling terabytes of data daily, I excel in transforming raw data into meaningful insights and delivering robust analytical solutions. My expertise spans across technologies like Apache Spark, Hadoop, Kafka, SQL, Git, and data modeling, along with data warehousing. I am proficient in leveraging cloud platforms such as AWS and Azure to build and maintain scalable, high-performance data infrastructure. I am passionate about optimizing existing aggregated tables (FACT/OLAP) to align with business requirements and creating new ones to drive data-driven decision-making. Outside work, I enjoy playing basketball and table tennis and watching movies and TV series.

Experience

3 yrs 10 mos

Total Experience

1 yr 5 mos

Average Tenure

11 mos

Current Experience

Coursera

Data Engineer II

Jul 2025 – Present · 11 mos · Remote

Data Build Tool (DBT)Data Engineering

Dp world

Data Engineer

Dec 2023 – Jun 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India · Hybrid

Led the design, development, and integration of scalable data pipelines for RMS, ensuring high availability, produced tables to support rail business analytics and dashboards to help boost businesses operations by 40%.
Designed tables to perform lot break identification and load plan module efficiency analysis in RMS. This resulted in a 5% increase in rake planning efficiency and reduced lot break identification time by 20%.
Migrated the workflows and tables of RMS in Azure Databricks for ADLS gen2 implementation, enhancing data retrieval, data security, access management, and getting the best out of Azure blob cloud storage.
Extracted real-time location data of rakes from API source and created a dedicated end-to-end pipeline to power a dashboard displaying near real-time rake positions and also automated alerting for rake detentions above an hour, enhancing operational efficiency, and leading to an 8% improvement in rake utilization.

GitAzure DatabricksData EngineeringData Pipeline Development

Paytm

Data Engineer

Jun 2022 – Nov 2023 · 1 yr 5 mos · Noida, Uttar Pradesh, India · Remote

Implemented KPI/MIS jobs and a reporting framework, resulting in improved MIS report delivery by 3-4 hours. Streamlined the MIS framework, implementing sanity checks, tuning threshold deviations, and automating reconciliation processes. Adept at visualizing deviations on Looker dashboards.
I worked on developing a data-cataloging tool Datahub, for end-to-end dataset lineage and metadata. Automated dataset onboarding, metadata updates, and lineage tracking using Kafka and Jira webhooks.
I worked on the creation of new aggregated tables (Fact/OLAP) along with optimization of existing ones to reduce the delivery time of different jobs.

GitAPI GatewaysData EngineeringData Analysis