Ratnesh Kumar Email & Phone Number
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Ratnesh Kumar is listed as Senior Data Engineer at Shiprocket, a with 207 employees, based in Gurgaon, Haryana, India. AeroLeads shows a matched LinkedIn profile for Ratnesh Kumar.
Ratnesh Kumar previously worked as Senior Data Analyst at Shiprocket and Senior Data Analyst at Pickrr. Ratnesh Kumar holds Master Of Technology - Mtech, Process Control from Netaji Subhas Institute Of Technology.
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About Ratnesh Kumar
As a Senior Data Analyst, I specialize in designing and building data pipelines that transform raw data into actionable insights. I have extensive experience working with large-scale distributed systems, leveraging technologies like Kafka, EMR, Trino, and Iceberg to enable efficient and scalable data processing.Currently, I work with a modern data platform that integrates open-source tools like Kafka for streaming, Trino for querying, and Iceberg tables with Parquet files for efficient storage. Our architecture includes using AWS Glue Catalog and Hive Metastore for metadata management, making our data easily accessible and queryable for analytics through Trino and Metabase. Additionally, I collaborate on managing Snowflake integrations using AWS DMS for seamless data migrations.I’m passionate about optimizing data flows, ensuring high performance, and solving complex data challenges. I also aim to stay on top of industry trends by continuously learning and evolving with new technologies.
Ratnesh Kumar's current company
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Ratnesh Kumar work experience
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Senior Data Analyst
At Shiprocket, I am responsible for building and maintaining scalable data infrastructure to support the company's analytics and decision-making processes. My role involves:- Designing and managing Batch/real-time data pipelines using Kafka to stream data and integrate with Debezium for capturing changes in database logs.- Implementing ETL processes on AWS EMR, processing data from Kafka and transforming it into Iceberg table formats, optimized with Parquet files.- Utilizing Trino for distributed querying and integrating it with Glue Catalog and Hive Metastore to ensure seamless access to structured and unstructured data.- Collaborating with teams to ensure efficient data ingestion and transformation for both internal analytics tools like Metabase and external platforms such as Snowflake, using AWS DMS for data migrations.- Driving performance improvements in querying and data storage while ensuring data consistency and reliability across multiple environments.Through my work, I ensure that Shiprocket’s data platform is optimized for performance, scalability, and analytics-driven insights.
Senior Data Analyst
- Designed and managed data pipelines using Kafka for real-time streaming and ETL processes.- Developed data models to support analytics and decision-making, ensuring efficient data retrieval and accuracy.- Leveraged Trino to query data from multiple sources and optimize the performance of large datasets.- Utilized Kubernetes for deploying and managing containerized applications, improving the scalability and flexibility of the infrastructure.- Worked with Metabase for visualizing data, providing actionable insights to various stakeholders.- Integrated and maintained MongoDB for efficient NoSQL data storage and querying, handling high volumes of unstructured data.- Automated workflows using Airflow, ensuring data pipelines run smoothly with minimal downtime.- Applied Python extensively for data processing tasks, building custom scripts for transforming and cleaning large datasets.- Collaborated with teams to optimize SQL queries and enhance data retrieval times from relational databases.
Data Scientist
- Led the development of **RTO Prediction** models, enhancing the company’s ability to forecast Return to Origin (RTO) rates and minimize shipping costs by identifying potential failed deliveries before they occur.- Applied **Address Intelligence** techniques to improve delivery accuracy and optimize route planning, significantly reducing delivery errors and increasing first-attempt success rates.- Utilized machine learning algorithms to enhance the prediction accuracy of both RTO and Address Intelligence models, contributing to better decision-making in logistics and customer management.- Conducted in-depth **data profiling** and **user profiling**, leveraging data science techniques to understand user behaviors and create personalized engagement strategies.- Collaborated with cross-functional teams to incorporate **predictive modeling** insights into the product, enhancing operational efficiency and user experience.- Extensively utilized **Python** for data wrangling, model development, and automation, ensuring smooth processing and integration of data science initiatives into the product.- Delivered actionable insights through statistical analysis and machine learning, improving product performance and supporting business growth.
Data Analyst
- Managed reporting and dashboarding for sales, operations, and finance.- Conducted pincode-based cleaning and improvement through data modeling.- Handled order zone assignments based on geolocation, including city-to-city mapping.- Monitored client churn and growth.- Prepared Management Information System (MIS) reports and dashboards.
Business Analyst
- Designed dashboards and reports to monitor KPIs across operations, sales, and customer success, and conducted trend analysis to support strategic decisions.- Improved operational performance by optimizing delivery TAT, order fulfillment, and cost reduction.- Analyzed customer behavior to prevent fraud and increase prepaid order conversions.- Developed performance metrics for operations, category management, and customer service teams.- Designed incentive schemes to enhance seller performance and retention.- Supported product development and user experience enhancement through data-driven insights and app customizations.- Managed inventory optimization, predictive modeling for delivery time estimation, and tracked campaigns such as mystery buying and digital marketing efforts.- Enhanced data readability and accessibility to facilitate better decision-making.
Data Analyst
- Automated manual reporting processes, enhancing efficiency and accuracy.- Improved maintenance visibility and health through comprehensive data analysis.- Created and published maintenance-related reports for management.- Conducted data mining and analysis to drive insights and decision-making.- Analyzed asset breakdowns and optimized end-to-end cold chain operations.- Studied pilot driving behavior to enhance safety and performance.- Drafted Business Requirement Documents (BRDs) and logic for product development.- Increased uptime of IoT devices and prepared performance reports and dashboards for senior management.
Colleagues at Shiprocket
Other employees you can reach at shiprocket.in. View company contacts for 207 employees →
Rohit Kumar
Colleague at ShiprocketDelhi, India
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GK
Gauri Kushwaha
Colleague at ShiprocketDelhi, India
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SH
Shashank Hans
Colleague at ShiprocketDelhi, India
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RK
Rahul Kumar
Colleague at ShiprocketGreater Delhi Area, India
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MK
Mohit Kumar
Colleague at ShiprocketDelhi, India
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MG
Meenakshi Gera
Colleague at ShiprocketGurugram, Haryana, India
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RR
Ritika R.
Colleague at ShiprocketWest Delhi, Delhi, India
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SL
Soniya Ladhani
Colleague at ShiprocketGurugram, Haryana, India
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SG
Sahil Grover
Colleague at ShiprocketGurgaon, Haryana, India
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VK
Vipin Kumar
Colleague at ShiprocketBengaluru, Karnataka, India
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Ratnesh Kumar education
Master Of Technology - Mtech, Process Control
Bachelor Of Technology - Btech
Frequently asked questions about Ratnesh Kumar
Quick answers generated from the profile data available on this page.
What company does Ratnesh Kumar work for?
Ratnesh Kumar works for Shiprocket.
What is Ratnesh Kumar's role at Shiprocket?
Ratnesh Kumar is listed as Senior Data Engineer at Shiprocket.
Where is Ratnesh Kumar based?
Ratnesh Kumar is based in Gurgaon, Haryana, India while working with Shiprocket.
What companies has Ratnesh Kumar worked for?
Ratnesh Kumar has worked for Shiprocket, Pickrr, Bulbul, and Rivigo.
Who are Ratnesh Kumar's colleagues at Shiprocket?
Ratnesh Kumar's colleagues at Shiprocket include Rohit Kumar, Gauri Kushwaha, Shashank Hans, Rahul Kumar, and Mohit Kumar.
How can I contact Ratnesh Kumar?
You can use AeroLeads to view verified contact signals for Ratnesh Kumar at Shiprocket, including work email, phone, and LinkedIn data when available.
What schools did Ratnesh Kumar attend?
Ratnesh Kumar holds Master Of Technology - Mtech, Process Control from Netaji Subhas Institute Of Technology.
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