# Nagesh Panditi

Nagesh Panditi is a remote worker on Himalayas, Data Engineer at Deloitte USI, based in India.

Source: https://himalayas.app/@nageshpanditi

```text
Data Engineer at Deloitte USI building reliable GCP pipelines, including BigQuery workflows that cut query execution time by 35%.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 30k+ USD |
| Job categories | Data Engineer |
| Skills | Data Engineering, ETL ELT Pipeline Development, Data Warehouse, Data Orchestration, Batch Processing, Real time Data Processing, Data Modeling, Data Quality, Data Validation, Schema Evolution, Partitioning, Clustering, Medallion Architecture, Google Cloud Platform, BigQuery |
| LinkedIn | https://linkedin.com/in/nagesh |

## About

```text
At Deloitte USI, I build and maintain data workflows for financial services and retail clients. I developed BigQuery transformations that reduced query execution time by 35%, and Python and PySpark workflows that reduced processing time by 40%.

Previously, at Syntel Pvt Ltd, I ingested daily data into Hive, implemented real-time ingestion with Apache Kafka, and automated Airflow workflows. I also built a real-time processing project with Apache Beam and Google Cloud Dataflow, and a BigQuery data warehouse using Medallion Architecture.
```

## Experience

### Data Engineer (current)

[Deloitte USI](https://himalayas.app/companies/deloitte). Feb 2025 - Present

```text
Architected and maintained 25+ daily batch ETL workflows using Google Cloud Composer, improving pipeline success rates above 99%. Optimized BigQuery transformations and PySpark jobs, reducing query execution time by 35% and processing time by 40%.
```

Skills: Google-Cloud-Composer, Airflow, BigQuery, PySpark, Dataproc, Google-Data-Fusion, Pub-Sub, Python, SQL, Jira, Bitbucket, Bamboo-CI-CD

### Data Engineer

Syntel Pvt Ltd. Oct 2021 - Nov 2024

```text
Ingested over 15 GB of daily data into Hive using Python and SQL, and implemented real-time ingestion with Apache Kafka. Automated workflows with Airflow, reducing manual intervention by 30%.
```

Skills: Python, SQL, Hive, Kafka, PySpark, BigQuery, Airflow, Google-Cloud-Storage

## Education

### Vaagdevi Institute of Technology and Science

Bachelor of Engineering (B. Tech), Engineering

```text
Completed a Bachelor of Engineering in Technology from Vaagdevi Institute of Technology and Science in August 2021.
```

## Tech stack

- Apache Spark
- Google Cloud Platform
- Google Cloud Storage
- GitHub
- Bitbucket
- PySpark
- DataGrip
- Jira
- Python
- Git
- Apache Beam
- SQL
- Apache Kafka

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

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