# Kartik Patel

Kartik Patel is a remote worker on Himalayas, Senior Data Engineer at Deloitte, based in Canada.

Source: https://himalayas.app/@kartikpatel4

```text
Senior Data Engineer at Deloitte building Snowflake data models and ML pipelines that improved forecasting accuracy by 25%.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Canada |
| Authorized to work in | Canada |
| Salary expectations | 60k+ USD |
| Job categories | Data Engineer, Data Warehouse Developer |
| Skills | Data Engineering, ETL ELT, Data Pipelines, Data Lakehouse Architecture, Data Warehouse, Data Modeling, Distributed Data Processing, Real Time Data Streaming, Machine Learning Pipelines, MLOps, Cloud Architecture, AWS, Azure, Google Cloud Platform, Snowflake |

## About

```text
At Deloitte, I designed Snowflake dimensional models that improved historical tracking and demand forecasting accuracy by 25%. I also built Databricks, MLflow, and AWS SageMaker pipelines that reduced model deployment time by 40%.

At Ford, I designed an AWS data lake that centralized 200+ TB of financial data for real-time and batch analytics. Earlier at Capgemini, I developed data integration and warehouse solutions for banking and financial operations.
```

## Experience

### Senior Data Engineer (current)

[Deloitte](https://himalayas.app/companies/deloitte-ireland). Oct 2024 - Present

```text
Implemented CDC-based data pipelines using AWS DMS and Snowflake Streams, designed dimensional data models, and built end-to-end ML pipelines with Databricks and MLflow. Managed multi-cloud data platforms and ensured data security and compliance.
```

Skills: AWS-DMS, Snowflake, Databricks, MLFlow, AWS-Sagemaker, GCP, Azure, PySpark, SQL, Data-Modeling, Data-Lakehouse, Delta-Lake, CI-CD, Terraform, Docker, Kubernetes, Power-BI, Tableau

### Data Engineer

[Ford](https://himalayas.app/companies/ford). Apr 2022 - Sep 2024

```text
Designed and implemented scalable AWS-based data lake architecture, built ETL/ELT pipelines, and developed real-time streaming solutions. Optimized Spark workloads and implemented DataOps practices to improve performance and reduce costs.
```

Skills: AWS, S3, Snowflake, Redshift, AWS-Glue, PySpark, Databricks, EMR, Kafka, GCP, BigQuery, Dataflow, Dataproc, Azure-Data-Factory, Azure-Databricks, Delta-Lake, Jenkins, Gitlab-CI, AWS-CodePipeline, Terraform, Docker, Kubernetes, QuickSight, IAM, KMS

### Data Warehouse Developer

[Capgemini](https://himalayas.app/companies/capgemini-technology-services). Aug 2020 - Mar 2022

```text
Led optimization initiatives for ETL workflows and database processes, developed ETL/ELT pipelines using Azure Data Factory, and designed AWS cloud infrastructure. Coordinated project timelines and resolved data quality issues for banking compliance projects.
```

Skills: Azure-Data-Factory, Azure-Databricks, PySpark, Spark-SQL, AWS, EC2, S3, DynamoDB, GCP, IAM, VPC, GKE, Kubernetes, Terraform, SQL, Pl-SQL, Informatica, Business-Objects, Cloudwatch, GitOps

## Education

### Charotar University of Science and Technology

BTech, Information Technology

```text
Completed BTech in Information Technology in April 2020.
```

### Amazon Web Services

AWS Certified Solutions Architect – Associate (SAA-C03), Cloud Architecture

```text
Earned the AWS Certified Solutions Architect – Associate (SAA-C03) certification.
```

### Google Cloud

Google Cloud Certified - Professional Data Engineer, Data Engineering

```text
Earned the Google Cloud Certified - Professional Data Engineer certification.
```

### Microsoft

Microsoft Certified: Azure Data Engineer Associate (DP-203), Data Engineering

```text
Earned the Microsoft Certified: Azure Data Engineer Associate (DP-203) certification.
```

### Databricks

Databricks Certified Data Engineer Professional, Data Engineering

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

## Tech stack

- Amazon Redshift
- Snowflake
- Azure HDInsight
- Apache Spark
- AWS Glue
- Apache Flink
- Tableau
- Amazon Quicksight
- Amazon EC2
- Microsoft Azure
- Google Cloud Platform
- Amazon S3
- Bitbucket
- Kubernetes
- Helm
- Docker Swarm
- Azure Kubernetes Service
- AWS CodePipeline
- Jenkins
- GitHub Actions
- GitLab CI
- PySpark
- Sqoop
- MySQL
- PostgreSQL
- MongoDB
- Oracle
- Hadoop
- HBase
- Databricks
- Terraform
- Azure DevOps
- Jira
- Python
- JSON
- Scala
- MLflow
- Amazon SQS
- Amazon SNS
- Nagios
- Azure Monitor
- Zookeeper
- Windows
- Avro
- AWS Lambda
- Azure Functions
- Microsoft Excel
- Amazon RDS
- Amazon Aurora
- Azure SQL Database
- Git
- Docker
- Apache Beam
- Amazon Athena
- SQL
- Azure Cosmos DB
- Azure Blob Storage
- Delta Lake
- Azure Logic Apps
- Power BI
- Apache Kafka
- AWS

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

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