# Dayanand S

Dayanand S is a remote worker on Himalayas, Senior Data Engineer at Honeywell, based in United States.

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

```text
Senior Data Engineer at Honeywell who cut Spark pipeline execution time by approximately 40%.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 60k+ USD |
| Job categories | Data Engineer |
| Skills | Data Engineering, ETL ELT, Data Pipelines, Apache Spark, PySpark, Python, SQL, Azure Databricks, Delta Lake, AWS, Snowflake, Azure Data Factory, Incremental Load, Spark Optimization, Data Validation |

## About

```text
At Honeywell, I develop and support ETL pipelines that bring data from enterprise systems into the Azure data platform. I use Python, PySpark, SQL, Azure Databricks, and Azure Data Factory to build ingestion and transformation workflows.

I work on a Delta Lake lakehouse organized into Bronze, Silver, and Gold layers. I’ve used Auto Loader for incoming files and Unity Catalog to organize data assets and manage access.

At Honeywell, I improved Spark job performance by reviewing execution plans, adjusting joins, and removing unnecessary transformations, reducing pipeline execution time by approximately 40%. I also added data validation and reconciliation checks and investigated production pipeline failures.

Previously, at Walmart, I built and maintained AWS data pipelines and supported Snowflake and Amazon Redshift reporting workloads. I also managed Apache Airflow DAGs, reducing manual operational effort by approximately 60%.
```

## Experience

### Senior Data Engineer (current)

[Honeywell](https://himalayas.app/companies/honeywell-international-inc). Nov 2024 - Present

```text
Developed and supported ETL pipelines using Python, PySpark, SQL, Azure Databricks, and Azure Data Factory. Improved Spark job performance, reducing pipeline execution time by approximately 40%.
```

Skills: Python, PySpark, SQL, Azure-Databricks, Azure-Data-Factory, Delta-Lake, Unity-Catalog, Auto-Loader, Apache-Spark, SQL-Server, Oracle, Teradata, REST-APIs, SFTP, Git, Azure-DevOps

### Senior Data Engineer

[Walmart](https://himalayas.app/companies/walmart-com). Dec 2022 - Nov 2024

```text
Built and maintained AWS-based data pipelines using Python, PySpark, SQL, and Apache Spark. Managed Apache Airflow DAGs, reducing manual operational effort by approximately 60%.
```

Skills: Python, PySpark, SQL, Apache-Spark, AWS-Glue, S3, Amazon-EMR, Snowflake, Amazon-Redshift, AWS-Lambda, AWS-Step-Functions, Airflow, Snowpipe, Streaming, Task, Star-Schemas

### Data Engineer

Econtenti Inc. Aug 2020 - Feb 2021

```text
Wrote Python scripts and SQL queries to extract, clean, and transform data. Assisted with ETL pipeline development and data migration activities.
```

Skills: Python, SQL, ETL, Data-Migration, Data-Validation, Data-Modeling, Reporting

## Education

### Masters in Computer Technology

Master's, Computer Technology. 2021 - 2022. Grade: 3.89/4.0

```text
Pursued a Master's degree in Computer Technology with a GPA of 3.89/4.0.
```

## Tech stack

- Amazon Redshift
- Snowflake
- Apache Spark
- Presto
- AWS Glue
- Tableau
- Microsoft Azure
- Amazon S3
- AWS Step Functions
- PySpark
- dbt
- PostgreSQL
- MongoDB
- Cassandra
- Oracle
- Terraform
- Azure DevOps
- Python
- Java
- JSON
- MLflow
- AWS Lambda
- Git
- Google BigQuery
- Amazon EMR
- SQL
- Delta Lake
- Great Expectations
- Collibra
- Unity Catalog
- Spotfire
- Power BI
- AWS
- REST APIs

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

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