# Darshil Parikh

> Software Engineer @ Adonis

Location: New York, New York, United States
Profile: https://flows.cv/darshilparikh

I have always been drawn to the challenge of making data systems not only functional but also scalable, efficient, and intuitive. Data is not just something to move from point A to point B; it must be designed for long-term usability, optimized for cost and performance, and structured to empower teams.

I specialize in building high-performance data architectures that support analytics, machine learning, and real-time decision-making. My approach combines software engineering principles with distributed data systems to ensure that infrastructure remains scalable, cost-effective, and maintainable at any stage.

🔹 Scalability First: Architecting fault-tolerant, high-throughput data pipelines for large-scale workloads.
🔹 Cost and Performance Optimization: Reducing cloud costs, improving query efficiency, and optimizing storage and compute resources for long-term sustainability.
🔹 Software-Driven Data Engineering: Applying functional programming, distributed computing, and system design to build scalable and maintainable data infrastructure.
🔹 Data Infrastructure and Self-Serve Analytics: Creating lakehouse architectures, feature stores, and metadata-driven platforms to ensure reliable and accessible data for engineering, machine learning, and analytics teams.

I enjoy working on large-scale distributed systems and solving problems where efficiency, performance, and reliability directly influence business outcomes. Whether I am architecting batch and streaming pipelines, optimizing cloud costs, or building self-serve data platforms, I focus on solutions that reduce operational overhead, improve time-to-insight, and enable smarter decision-making at scale.

💡 My goal is simple: Engineer data systems that scale effectively, minimize costs, and make high-quality data available when and where it is needed.

🚀 I enjoy tackling complex data challenges, whether that means scaling pipelines, reducing infrastructure costs, or designing user-friendly, self-serve platforms. If you are working on real-world data problems, let us connect.

## Work Experience
### Software Engineer @ Adonis
Jan 2025 – Present
Data Platform

### Data Engineer @ Climate
Jan 2023 – Jan 2024 | New York, New York, United States
Feature Engineering in DFS

### Data Engineer @ Spotify
Jan 2022 – Jan 2023 | New York, New York, United States
Spotify for Artists

### Data Engineer @ CVS Health
Jan 2020 – Jan 2022 | Greater Boston
Rx Personalization

### Data Engineer @ Zipcar
Jan 2019 – Jan 2020 | Boston, Massachusetts, United States

### Software Engineer, Co-op @ IBM
Jan 2018 – Jan 2018 | Ottawa, Ontario, Canada

### Data Engineer, Co-op @ Wattpad
Jan 2016 – Jan 2017 | Toronto, Ontario, Canada

### Software Engineer, Test Automation @ Bazaarvoice
Jan 2015 – Jan 2015 | Austin, Texas Area

### Software Engineer, Test Automation @ PointClickCare
Jan 2014 – Jan 2014 | Mississauga, Ontario

### Software Developer Co-op @ Street Contxt
Jan 2014 – Jan 2014 | Toronto, Ontario


## Education
### Bachelor of Applied Science (B.A.Sc.) in Mechatronics Engineering
University of Waterloo


## Contact & Social
- LinkedIn: https://linkedin.com/in/darshilparikh

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Source: https://flows.cv/darshilparikh
JSON Resume: https://flows.cv/darshilparikh/resume.json
Last updated: 2026-04-13