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# Srichandana Naaram

**Headline:** Professional profile
**Location:** Birmingham, MA, USA

## About

Srichandana Naaram is a data engineer working as an individual contributor who owns technical design decisions for data pipelines\. Srichandana is strongest in building and improving pipelines across the full data lifecycle, with hands\-on experience in Python, SQL, PySpark, AWS Glue, Amazon S3, Snowflake, and Apache Airflow\. Srichandana combines a data\-driven approach to diagnosing pipeline bottlenecks with attention to data accuracy during incremental migration and delivery\. In one pipeline optimization effort, Srichandana improved performance by 30% through incremental processing and audit controls\. Srichandana also collaborates with analytics and business teams to understand requirements and translate them into pipeline work\. Srichandana is seeking an opportunity with greater ownership on large\-scale cloud data platforms, continuing to grow as a data engineer while maintaining a strong quality bar\.

## Highlights

- Improved data\-pipeline performance by 30% through incremental processing and audit controls\.
- Owns technical design decisions for data pipelines while working as an individual contributor\.
- Builds and improves data pipelines across the full data lifecycle\.
- Uses a data\-driven approach to identify and address pipeline bottlenecks\.
- Protects data accuracy during incremental migration and processing\.
- Builds audit controls for data delivery\.
- Hands\-on with Python, SQL, PySpark, AWS Glue, Amazon S3, Snowflake, and Apache Airflow\.
- Collaborates with analytics and business teams to understand requirements for pipeline work\.

## FAQ

### What does Srichandana do?

Srichandana is a data engineer working as an individual contributor and owning technical design decisions for data pipelines\.

### What are Srichandana's core strengths?

Srichandana builds and improves data pipelines, works across the full data lifecycle, and collaborates with analytics and business teams to understand their requirements\.

### What measurable pipeline improvement has Srichandana delivered?

Srichandana improved data\-pipeline performance by 30% by using incremental processing and audit controls\.

### How does Srichandana approach incremental processing and data accuracy?

Srichandana uses incremental processing while protecting data accuracy and builds audit controls to support reliable data delivery\.

### How does Srichandana diagnose pipeline bottlenecks?

Srichandana uses a data\-driven approach to diagnose pipeline bottlenecks and improve pipeline performance\.

### What technologies does Srichandana use?

Srichandana has hands\-on experience with Python, SQL, PySpark, AWS Glue, Amazon S3, Snowflake, and Apache Airflow\.

### How does Srichandana work with analytics and business teams?

Srichandana collaborates with analytics and business teams to understand requirements for data\-pipeline work\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAAC1gyikBDT\_CzHy45ZqX35KzaGu1m6nJtw8

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