# Abhinav Avula

Abhinav Avula is a remote worker on Himalayas, Data Engineer at Intuit, based in United States.

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

```text
Data Engineer at Intuit building ETL pipelines and improving data-processing performance by 25%.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 79k+ USD |
| Job categories | Data Engineer, Data Analyst |
| Skills | ETL, ELT, Data Pipelines, Data Integration, data transformation, Data Modeling, Data Warehouse, Batch Processing, Incremental Processing, Data Validation, Data Reconciliation, Data Profiling, Data Cleaning, Source To Target Mapping Validation, Schema Validation |

## About

```text
At Intuit, I design and maintain ETL/ELT pipelines that bring structured and semi-structured data into reliable downstream workflows. I’ve improved recurring data-processing performance by approximately 25% through PySpark and Databricks optimization.

I also build curated Databricks and Snowflake datasets and implement data quality and reconciliation frameworks. Automating workflows with Apache Airflow and AWS Glue reduced manual pipeline intervention by approximately 30%.

Previously, I developed data workflows at Synthons and supported institutional reporting and analysis as a Data Analyst Intern at Northeastern University. Earlier, as an Associate Data Analyst at Azachem, I automated recurring data preparation, reducing manual effort by approximately 20%.
```

## Experience

### Data Engineer (current)

[Intuit](https://himalayas.app/companies/intuit). May 2025 - Present

```text
Designed and maintained 15+ ETL/ELT pipelines using Python, SQL, PySpark, Databricks, AWS Glue, and Amazon S3. Implemented data quality and reconciliation frameworks, automated workflows with Apache Airflow, and optimized PySpark workloads for improved performance.
```

Skills: Python, SQL, PySpark, Apache-Spark, Databricks, Snowflake, AWS, S3, AWS-Glue, Airflow, Data-Modeling, Data-Quality, Data-Reconciliation, ETL, ELT, Data-Pipelines, Data-Integration, data-transformation, Batch-Processing, Incremental-Processing, Data-Warehouse, Delta-Lake, Distributed-Data-Processing, Workflow-Orchestration, DAGs, Scheduling-Workflows, Dependency-Management, Pipeline-Monitoring, Failure-Handling, PostgreSQL, MySQL, Data-Validation, Data-Profiling, Data-Cleaning, Source-To-Target-Mapping-Validation, Schema-Validation, Exploratory-Data-Analysis, Statistical-Analysis, Trend-Analysis, Variance-Analysis, KPI-Analysis, Root-Cause-Analysis, Git, GitHub, Linux, Production-Monitoring

### Data Engineer

Synthons. Jun 2024 - Apr 2025

```text
Built and enhanced data ingestion and transformation workflows using Python, SQL, and PySpark. Developed scalable Databricks processing jobs, designed Apache Airflow DAGs, and implemented data profiling and reconciliation routines to improve data quality and workflow reliability.
```

Skills: Python, SQL, PySpark, Apache-Spark, Databricks, Airflow, Data-Pipelines, Data-Integration, data-transformation, Data-Cleaning, Data-Validation, Data-Reconciliation, Data-Profiling, Workflow-Orchestration, DAGs, Scheduling-Workflows, Dependency-Management, Pipeline-Monitoring, Failure-Handling, Git, GitHub, Linux, Production-Monitoring

### Data Analyst Intern

[Northeastern University](https://himalayas.app/companies/northeastern-university). May 2024 - Dec 2024

```text
Queried relational datasets using SQL and used Python and Pandas to clean, transform, and validate data. Performed exploratory and statistical analysis to identify trends and reconciled source data against reporting outputs.
```

Skills: SQL, Python, Pandas, Data-Cleaning, data-transformation, Data-Validation, Data-Reconciliation, Exploratory-Data-Analysis, Statistical-Analysis, Trend-Analysis, Variance-Analysis

### Associate Data Analyst

Azachem. Mar 2021 - Apr 2022

```text
Extracted, transformed, and prepared operational datasets using SQL and Python to support business reporting. Developed SQL queries for metrics, built Python-based data preparation workflows, and automated recurring tasks to improve consistency.
```

Skills: SQL, Python, Data-Preparation, Data-Validation, Data-Reconciliation, Trend-Analysis, Variance-Analysis, Descriptive-Analytics, Automation, Data-Quality

## Education

### Northeastern University

Master of Science, Data Analytics Engineering. 2023 - 2025

```text
Pursued a Master of Science in Data Analytics Engineering, focusing on data engineering and analytics.
```

### AWS

AWS Certified Cloud Practitioner, Cloud Computing

```text
Earned the AWS Certified Cloud Practitioner certification.
```

### Databricks

Databricks Certified Associate Data Engineer, Data Engineering

```text
Earned the Databricks Certified Associate Data Engineer certification.
```

### Osmania University

Bachelor of Engineering, Computer Engineering. 2018 - 2022

```text
Earned a Bachelor of Engineering in Computer Engineering, building a strong foundation in computer science and engineering.
```

## Tech stack

- Snowflake
- Apache Spark
- AWS Glue
- Amazon S3
- GitHub
- NumPy
- Pandas
- PySpark
- MySQL
- PostgreSQL
- Databricks
- Python
- Linux
- Git
- SQL
- Delta Lake
- Bash
- AWS

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

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