# Amulya Kumari

Amulya Kumari is a remote worker on Himalayas, Senior Data Engineer at PWC, based in Canada.

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

```text
Senior Data Engineer at PWC building metadata-driven Spark and Scala pipelines for marketing data on GCP.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | Canada |
| Authorized to work in | Canada |
| Salary expectations | 140k+ INR |
| Job categories | Data Engineer, Big Data Engineer |
| Skills | Data Engineering, Apache Spark, Scala, SQL, Metadata Driven ETL, ETL, Data Pipelines, Data Modeling, Data Warehouse, Performance Optimization, Data Quality, Data Lineage, Data Integration, Stream Processing, Cloud Data Engineering |

## About

```text
At PWC, I build metadata-driven Spark and Scala pipelines for marketing feeds, using Cloud Dataproc, Cloud Composer, and BigQuery. I moved ETL logic out of orchestration and into reusable transformations driven by metadata tables.

I’ve tuned Spark workloads, stabilized production jobs, and added validation, quarantine handling, and lineage tracking to help keep marketing data reliable. At Ford, I refactored marketing ETL across AWS and Azure, including Glue pipelines, Redshift models, and streaming integrations.

At Accenture, I worked on Spark and Scala marketing pipelines and also built healthcare data flows using AWS and Snowflake. I hold Azure, AWS, and Google Cloud data engineering certifications.
```

## Experience

### Senior Data Engineer (current)

[PWC](https://himalayas.app/companies/pwc). Nov 2024 - Present

```text
Delivered a scoped Spark Scala marketing feed on Cloud Dataproc backed by Cloud Storage, wiring outputs into BigQuery under tight campaign launch timelines. Built a reusable metadata framework where Cloud Composer triggers Dataproc jobs that read column rules, filters, and join definitions from tables instead of hardcoded Scala maps.
```

Skills: GCP, Google-Cloud-Dataproc, Google-Cloud-Storage, BigQuery, Dataflow, Cloud-SQL, Cloud-Composer, Cloud-Pub-Sub, Cloud-Logging, Cloud-Monitoring, Cloud-Build, Cloud-Functions, Cloud-Run, Cloud-Scheduler, Google-Data-Fusion, Spark, Scala, Python, Apache-Beam, Lang-Chain, OpenAI, LlamaIndex, Crew-AI, AutoGen, Vector-Databases, SQL, JSON, CI-CD, Metadata-Driven-ETL, Data-Lineage, Data-Quality, Data-Governance, Agile

### Data Engineer

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

```text
Delivered a time-boxed refactor of legacy marketing ETL into AWS Glue jobs, separating orchestration from logic and stabilizing daily runs under tight reporting SLAs. Reworked core data warehouse structures in Amazon Redshift using star schemas and proper keys, aligning with marketing analytics requirements and avoiding hidden ETL logic in scheduling layers.
```

Skills: AWS, S3, AWS-Glue, Glue-Data-Catalog, Amazon-Redshift, Amazon-EMR, Amazon-Athena, AWS-Data-Pipeline, AWS-Step-Functions, Amazon-Kinesis, AWS-Lambda, Amazon-RDS, Cloudwatch, AWS-IAM, AWS-CodeBuild, AWS-CodePipeline, CloudFormation, Azure-Data-Factory, Azure-SQL-Database, Azure-Event-Hubs, Azure-Stream-Analytics, Azure-Cosmos-DB, Azure-Blob-Storage, azure-monitor, Log-Analytics, Azure-DevOps, Spark, PySpark, Scala, Python, SQL, Parquet, SFTP, CI-CD, Metadata-Driven-ETL, Data-Warehouse, Data-Modeling, Data-Integration, Agile

### Big Data Engineer

[Accenture](https://himalayas.app/companies/accenture). Aug 2019 - Mar 2022

```text
Delivered a scoped Spark and Scala batch pipeline for marketing feeds, wiring into existing Azure storage and warehouse layers without changing downstream contracts. Reworked legacy ETL flows so Azure Data Factory only scheduled jobs, moving all business rules into Spark transformations and shared Scala libraries for clearer ownership.
```

Skills: Azure, Azure-Data-Factory, Azure-Storage, Azure-SQL, AWS, S3, AWS-DataSync, AWS-Lambda, AWS-Kinesis, Cloudwatch, AWS-IAM, AWS-Glacier, CloudFormation, AWS-Sagemaker, Snowflake, Snowpipe, Spark, Spark-SQL, Scala, Python, AWS-SDK-(Boto3), SQL, SQLAlchemy, Tableau, CSV, JSON, HL7, Metadata-Driven-ETL, Data-Warehouse, Data-Modeling, Real-time-Data-Processing, Healthcare-Data, HIPAA, PHI, CI-CD, Agile

## Education

### Kakatiya University

Bachelor of Engineering, Electrical and Electronics Engineering

```text
Bachelor's degree in Electrical and Electronics Engineering from Kakatiya University, completed in April 2019.
```

### Microsoft

Microsoft Certified: Azure Data Engineer – Associate, Data Engineering

```text
Microsoft Certified: Azure Data Engineer – Associate certification.
```

### Amazon Web Services

AWS Certified Data Engineer – Associate, Data Engineering

```text
AWS Certified Data Engineer – Associate certification.
```

### Google Cloud

Google Cloud Certified: Professional Data Engineer, Data Engineering

```text
Google Cloud Certified: Professional Data Engineer certification.
```

## Tech stack

- Amazon Redshift
- Snowflake
- Apache Spark
- AWS Glue
- Tableau
- AWS IAM
- Microsoft Azure
- Google Cloud Platform
- Amazon CloudWatch
- Amazon S3
- AWS Step Functions
- AWS CodePipeline
- AWS CodeBuild
- PySpark
- AWS Data Pipeline
- AWS CloudFormation
- Azure DevOps
- Python
- JSON
- Scala
- Azure Monitor
- SQLAlchemy
- Amazon Kinesis
- AWS Lambda
- Amazon RDS
- Azure SQL Database
- Apache Beam
- Amazon EMR
- Amazon Athena
- SQL
- Azure Cosmos DB
- Azure Blob Storage
- LangChain
- LlamaIndex
- AutoGen
- CrewAI
- Apache Kafka
- OpenAI

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

## People also viewed

- [Tvisha Patel](https://himalayas.app/@tvishapatel): Senior Data Engineer Azure, Walmart
- [Dev Patel](https://himalayas.app/@devpatel6): Senior Data Engineer, BMO
- [Keval Dainik](https://himalayas.app/@kevaldainik): Senior Data Engineer, Deloitte
- [Kirtesh Patel](https://himalayas.app/@kirteshpatel): Sr. AWS Data Engineer, Rogers Communications
- [Chaudhari Keval](https://himalayas.app/@chaudharikeval): Senior Data Engineer, EY
- [Joy Miao](https://himalayas.app/@joymiao): Data Engineer II / Cloud Data Engineer, Bell Mobility
- [Peter Michael](https://himalayas.app/@petermichael2): Senior Data Engineer, EY
- [Kartik Patel](https://himalayas.app/@kartikpatel4): Senior Data Engineer, Deloitte
- [Chandana Sri](https://himalayas.app/@chandanasri): Senior Data Engineer, Rogers Communications
- [Dharmil Patel](https://himalayas.app/@dharmilpatel): Senior Data Engineer, EY