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Tejal Joshi

@tejaljoshi1

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Software Engineer at Hexaware Technologies who built AWS data pipelines and migrated PeopleSoft Financials to AWS.

Ireland

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At Hexaware Technologies, I built Python and PySpark stages for a metadata ingestion framework, moving data into S3 and converting it to Parquet. I orchestrated the pipeline with Step Functions and Airflow, and tracked metadata in DynamoDB.

I also migrated PeopleSoft Financials infrastructure to AWS, including Solaris and Linux servers to RHEL on EC2 and Oracle 11g to RDS 19c. The cutover completed with no unplanned downtime, and processing was around 25% faster.

Experience

Work history, roles, and key accomplishments

Software Engineer

Hexaware Technologies

Jul 2024 - Aug 2025 (1 year 1 month)

ETL Developer / Data Engineer on a metadata ingestion framework for Carlyle, orchestrating pipelines with Step Functions and Airflow, building extraction and ingestion stages in Python and PySpark, and modeling metadata in DynamoDB.

Python PySpark AWS Step Functions Lambda S3 DynamoDB Airflow Cloudwatch Athena Iceberg SNS

Associate Software Engineer

Hexaware Technologies

Jan 2023 - May 2024 (1 year 4 months)

Worked on PeopleSoft Financials upgrade and on-prem to AWS migration, including migrating servers to RHEL on EC2 and Oracle to RDS, configuring VPC and Direct Connect, and delivering CVE patching and SSO integration.

AWS EC2 RDS VPC Direct Connect S3 AWS CLI CI CD Java Azure AD CAS Peoplesoft Oracle

Graduate Engineer Trainee

Hexaware Technologies

Jul 2022 - Dec 2022 (5 months)

Provided production support for a cloud-hosted PeopleSoft finance application on AWS, monitoring uptime, resolving P1/P2 tickets, and acting as point of contact for client stakeholders.

AWS Peoplesoft SQL Jira ServiceNow Incident Management Production Support

Education

Degrees, certifications, and relevant coursework

National College of Ireland

Master of Science, Cloud Computing

2025 -

Pursuing an MSc in Cloud Computing with modules in Cloud DevOps & Security and Cloud Architectures, each built as an individual project through a full deployment pipeline.