Pravesh Acharya
@praveshacharya
Senior Data Engineer specializing in secure, scalable AWS data platforms and real-time pipelines.
What I'm looking for
I am a Senior Data Engineer with deep experience designing and operating secure, production-grade data platforms across healthcare, financial services, and enterprise domains.
I build event-driven and batch pipelines on AWS, implementing Lakehouse and warehouse solutions with Snowflake, Redshift, S3, EMR, and Delta Lake while ensuring HIPAA and PCI-aligned governance.
I automate infrastructure and CI/CD using Terraform and AWS-native tooling, deliver low-latency streaming with Kafka and Kinesis, and strengthen reliability with monitoring, alerting, and disaster-recovery controls.
I mentor engineers, lead design discussions, and partner cross-functionally to align data architectures with business goals, drive performance tuning, and promote reusable frameworks and documentation.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Sonic Healthcare USA
Sep 2024 - Present (1 year 5 months)
Built and operated an AWS-based healthcare data lake handling high-volume HL7/FHIR records, stabilized ingestion pipelines, and implemented HIPAA-aligned governance and near-real-time event-driven processing to support clinical reporting and regulatory submissions.
Data Engineer
Discover Financial Services
Oct 2022 - Aug 2024 (1 year 10 months)
Modernized enterprise financial data platforms on AWS, building streaming and batch ingestion pipelines for transaction analytics and risk reporting while enforcing PCI-aligned security, Redshift optimization, and metadata-driven validation.
ETL Developer
NCR Corporation
Feb 2021 - Sep 2022 (1 year 7 months)
Developed and optimized high-volume Informatica ETL pipelines and database transformations for retail POS and banking reporting, improving load performance and automating batch processes with robust validation and production support.
Junior Backend Developer
Allstate Insurance Company
Jun 2018 - Jan 2021 (2 years 7 months)
Supported claims backend services by developing Python Flask REST APIs and SQL backend components, improving data access performance and automating operational tasks while participating in CI/CD and production troubleshooting.
Education
Degrees, certifications, and relevant coursework
Texas A&M University–Commerce
Master of Science, Business Analytics
Master of Science in Business Analytics from Texas A&M University–Commerce, focusing on applied analytics and data-driven business decision making.
Tech stack
Software and tools used professionally
Amazon API Gateway
Amazon Redshift
Azure Synapse
Apache Spark
AWS Glue
Google Cloud Platform
Amazon CloudWatch
Amazon S3
AWS Step Functions
GitHub
Kubernetes
Jenkins
GitHub Actions
PySpark
dbt
DB
MySQL
PostgreSQL
Gmail
Databricks
Terraform
Azure DevOps
Jira
JSON
Kafka
Azure Monitor
SQLAlchemy
Linux
Amazon Kinesis
AWS Lambda
Azure Functions
Airflow
Apache Oozie
Time Analytics
Root Cause
Amazon EMR
SQL
Delta Lake
Bicep
Bash
Transform
Bridge
Factory
Remote
Jan
Availability
Location
Authorized to work in
Job categories
Skills
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