# Adithya Nelanoothula

Adithya Nelanoothula is a remote worker on Himalayas, Data Engineer at Tata Consultancy Services, based in India.

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

```text
Cloud Data Engineer with 3 years building scalable Azure ETL pipelines for healthcare data.
```

| Detail | Value |
| --- | --- |
| Availability | Open to opportunities |
| Location | India |
| Authorized to work in | India |
| Job categories | Cloud Data Engineer, Data Engineer, ETL Engineer, Data Migration Engineer, Data Governance Engineer, Cloud Data Engineering, Cloud Database Engineer |
| Skills | Python, SQL, Scala, Spark, PySpark, Azure Data Factory, Azure Databricks, Azure ADLS Gen2, Logic Apps, Snowflake, Airflow, ETL ELT, Batch Processing, Incremental Workloads, Delta Lake, Git, Medallion Architecture, Parquet, Unity Catalog, Data Validation, Data Quality, Watermarking, Delta Lake OPTIMIZE, Partitioning, Caching, Databricks, Factory, Azure, Data Warehouse |

## What I'm looking for

```text
I’m looking for a cloud-first data engineering role where I can build reliable, scalable ETL pipelines with strong governance, optimize Delta Lake performance, and own incremental data processing end to end.
```

## About

```text
I’m a Cloud Data Engineer with 3 years of experience building scalable, production-grade ETL pipelines using Azure Data Factory, Azure Databricks, PySpark, and SQL. I develop end-to-end data pipelines for healthcare BI reporting and data science, processing 45–50 GB/day and delivering reliable data through Medallion Architecture with Parquet and Delta formats.

I focus on performance, resilience, and governance: I improved pipeline performance by 40% using Spark optimizations (partitioning, caching) and Delta Lake features such as OPTIMIZE, VACUUM, and Time Travel—while reducing storage costs. I also decommissioned ∼130 Airflow DAGs to Azure Data Factory and Azure Databricks, designed incremental processing using watermarking, implemented data validation and data quality checks, and used Unity Catalog for centralized data governance and fine-grained access control.
```

## Experience

### Data Engineer (current)

[Tata Consultancy Services](https://himalayas.app/companies/tata-consultancy-services). Jun 2023 - Present

```text
Developed and maintained end-to-end ETL pipelines in Azure Data Factory and Azure Databricks processing 45–50 GB/day of healthcare data for BI and data science use cases. Improved pipeline performance by 40% using Spark and Delta Lake optimizations, and decommissioned ~130 on-prem Airflow DAGs to increase scalability and resilience.
```

Skills: Airflow, Azure-Data-Factory, Azure-Databricks, PySpark, SQL, Delta-Lake, Medallion-Architecture, Spark-Optimization, Unity-Catalog

## Education

### JNTUA College of Engineering

Bachelor of Technology, Mechanical Engineering. 2019 - 2023

```text
Bachelor of Technology in Mechanical Engineering from JNTUA College of Engineering, completed between 2019 and 2023.
```

### Sri Chaitanya Junior College

Intermediate, Higher Secondary Education. 2017 - 2019

```text
Completed Intermediate education at Sri Chaitanya Junior College from 2017 to 2019.
```

### Keshava Reddy School

Secondary School Certificate (SSC), Secondary Education. 2016 - 2017

```text
Completed SSC (secondary) education at Keshava Reddy School from 2016 to 2017.
```

## Tech stack

- Microsoft Azure
- PySpark
- Gmail
- Databricks
- Airflow
- SQL
- Delta Lake
- Unity Catalog
- Factory

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

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