Srikaraitihaas P.
AWS Data Platform Engineer | Designing Secure Lakehouse Architectures at Scale | Redshift Performance Optimization | Serverless & Event-Driven Pipelines | FinTech & Healthcare
- Role
- Aws Data Engineer at Ethos Infoways
- Location
- Birmingham, AL, US
- LinkedIn followers
- 500 followers
About Srikaraitihaas P.
I design and scale modern cloud data platforms that power analytics, compliance, and real-time decision-making in regulated enterprise environments.With 6+ years of experience across Financial Services, Healthcare, and SaaS ecosystems, I specialize in building secure, high-performance Lakehouse architectures on AWS. My focus is not just pipelines — it’s building resilient, governed data platforms that business leaders can trust.I architect event-driven, serverless systems using Glue, Lambda, Step Functions, and Redshift to process large-scale structured and semi-structured data. I optimize performance, enforce fine-grained access control with Lake Formation, and embed data quality into every layer of the stack.Beyond engineering, I drive cloud modernization initiatives using Infrastructure-as-Code (Terraform/CDK), CI/CD automation, and Agile delivery — helping organizations move from legacy data silos to scalable, governed cloud ecosystems.If you\'re building a modern AWS data platform — especially in FinTech, Healthcare, or enterprise SaaS — let\'s connect.
Experience
Aws Data Engineer
Oct 2024 — Present · US
Lakehouse Architecture: Design and implement modern data lakehouse solutions using AWS S3, Glue, and Redshift Spectrum, enabling high-performance analytics and fine-grained access control. Pipeline Orchestration: Developed and optimized batch and near-real-time data pipelines using AWS Glue, Lambda, and Step Functions, processing large-scale structured and semi-structured datasets. Data Modeling: Designed dimensional and normalized data models in Amazon Redshift, improving query performance through effective use of distribution keys and sort keys. Infrastructure as Code: Defined and managed data infrastructure using Terraform and CloudFormation, implementing CI/CD pipelines for automated deployments. Operational Stability: Implemented data quality checks, logging, and monitoring using CloudWatch, reducing pipeline failures and improving reliability. Collaboration: Partnered with analytics teams and stakeholders to translate complex business requirements into scalable data engineering solutions.
Education
University of Alabama at Birmingham
Master's degree, Computer Science
Gokaraju Rangaraju Institute of Engineering and Technology
Bachelor of Technology - BTech, Electrical and Electronics Engineering
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