# Hire the best remote ETL Pipelines employees

Discover 176 remote ETL Pipelines workers who are looking for their next full-time, part-time or freelance opportunity on Himalayas.

Source: https://himalayas.app/talent/etl-pipelines

## 176 remote workers

| Person | Role | Location | Salary expectations | Intro |
| --- | --- | --- | --- | --- |
| [Khushboo Jha](https://himalayas.app/@khushboojha) | Data Engineer | India |  | Data Engineer specializing in ETL pipelines, Delta Lake, and scalable big-data analytics. |
| [Abhijeet Potdar](https://himalayas.app/@abhijeetpotdar) | Data Engineer | India |  | Data Engineer specializing in Azure Databricks ETL automation and reliable pipeline delivery. |
| [Dishant Thakur](https://himalayas.app/@dishantthakur) | Data Engineer | India |  | I build Azure and Databricks data pipelines for reliable, fast analytics. |
| [Rohit Gupta](https://himalayas.app/@rohitgupta17) | Data Engineer | India |  | I build scalable ETL pipelines and data platforms across Azure, AWS, PySpark, and SQL. |
| [Manoj Patil](https://himalayas.app/@manojpatil3) | Data Engineer | India | 12029k+ INR | Data Engineer at ELITECODE TECHNOLOGICAL SOLUTIONS building Azure ETL pipelines for analytics. |
| [Sravani Vaddi](https://himalayas.app/@sravanivaddi) | Data Pipeline Engineer | India |  | Senior Data Pipeline Engineer specializing in ETL, data integration, and analytics dashboards. |
| [Sakib Pathan](https://himalayas.app/@sakibpathan) | Data Engineer | India |  | Data Engineer building ETL/ELT pipelines and AWS-native data platforms in Python, SQL, and Snowflake. |
| [Rehansha Sachdeva](https://himalayas.app/@rehanshasachdeva) | ETL Developer | India |  | ETL Developer crafting scalable data integration pipelines with AWS Glue and Informatica. |
| [shantanu kulkarni](https://himalayas.app/@shantanukulkarni) | Data Engineer | India |  | I build cloud ETL pipelines from raw data to analytics warehouses. |
| [Shubhrajyoti Poddar](https://himalayas.app/@shubhrajyotipoddar) | Data Engineer | India | 70k+ INR | Data Engineer at Automatrix Innovation Pvt. Ltd. who built a supply chain ETL pipeline that cut manual reporting effort by 80%. |
| [Ashwini Gadhave](https://himalayas.app/@ashwinigadhave) | Data Engineer | India |  | I build reliable ETL pipelines and cloud data platforms for analytics and reporting. |
| [ARIJIT KUMAR](https://himalayas.app/@arijitkumar) | Data Engineer | India |  | Data engineer building Spark pipelines for near real-time analytics and operational monitoring. |
| [Namratha Shenoy](https://himalayas.app/@namrathashenoy) | Data Engineer | India |  | I build reliable cloud data pipelines and analytics-ready data products. |
| [Anoushika Boddupalli](https://himalayas.app/@anoushikaboddupalli) | Data Engineer | India | 600k-900k INR | I’m a Data Engineer building trusted ETL/ELT pipelines and medallion data products on AWS and Databricks. |
| [shashank shukla](https://himalayas.app/@shashankshukla) | Data Engineer | India |  | Data Engineer specializing in scalable, validated ETL/ELT pipelines using Python, PySpark, Azure, Databricks and GCP. |
| [SaiSumanth Mali](https://himalayas.app/@saisumanthmali) | Data Engineer | India |  | Data Engineer building scalable ETL/ELT and BI pipelines across healthcare and finance. |
| [Giduturi Yeswanth Teja Rao](https://himalayas.app/@giduturiyeswanthteja) | Data Engineer | India |  | I build enterprise ETL, lakehouse, and warehouse pipelines across Microsoft Fabric, Azure, Snowflake, and Informatica. |
| [Ajay Vipparla](https://himalayas.app/@ajayvipparla) | Data Engineer | India |  | I build scalable AWS data pipelines for migration, transformation, and analytics. |
| [Prerna Gupta](https://himalayas.app/@prernagupta) | Data Engineer | India |  | Data engineer specializing in production ETL pipelines, reliability, and data quality. |
| [Suresh Babu Bodduluri](https://himalayas.app/@sureshbabubodduluri) | Data Engineer | Germany | 50k-60k EUR | I build scalable cloud data pipelines for analytics and AI-ready solutions. |

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To contact someone, message them from their profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).