Dhineshsunder Ganapathi — Software Engineer
Experienced Backend/Data Platform Engineer with over eight years of expertise in building scalable, high-performance systems that power data-driven applications. Specialized in designing and implementing backend architectures and data platforms with a focus on efficiency, reliability, and maintainability. Proficient in Python as the primary programming language, with extensive experience in developing backend services, automation scripts, and data processing pipelines. Deep understanding of distributed systems design, ensuring high availability, fault tolerance, and scalability for complex backend infrastructures. Hands-on expertise with AWS services, including EC2, S3, Lambda, RDS, and CloudWatch, to design cloud-native solutions that are secure, cost-effective, and operationally resilient. Proven ability to manage and deploy infrastructure using IaaC tools and to leverage AWS for both real-time and batch data processing use cases. Strong command of Linux environments for system-level operations, scripting, and performance optimization. Skilled in using tools such as Docker and Kubernetes to containerize and orchestrate services in production environments. Experienced in building and maintaining RESTful APIs that serve as reliable interfaces between systems and applications, following industry best practices for authentication, error handling, and performance. Track record of delivering data platforms that support ingestion, transformation, and storage of large-scale data, while ensuring data integrity and accessibility. Designed robust ETL workflows and integrated with third-party APIs to enrich data pipelines and enable seamless data exchange across systems. Collaborative team player with a history of working cross-functionally with DevOps, data engineers, analysts, and product teams to align technical execution with business objectives. Actively involved in architectural reviews, code quality initiatives, and mentoring junior engineers to uphold engineering standards. Committed to continuous improvement and staying current with emerging technologies. Adept at modernizing legacy systems, reducing technical debt, and introducing automation to improve development velocity and platform stability. Driven by a strong problem-solving mindset, passion for backend engineering, and a deep focus on delivering reliable, scalable, and secure data solutions. Seeking to contribute to forward-thinking teams where technology and data are at the core of innovation and impact.
Stackforce AI infers this person is a Backend/Data Platform Engineer with expertise in SaaS and cloud-native solutions.
Location: Bengaluru, Karnataka, India
Experience: 10 yrs 2 mos
Skills
- Engineering Management
- Software Design
- Solution Architecture
- Data Integration
- Amazon Web Services (aws)
- Data Maintenance
- Web Engineering
- Software Development
- Cloud Security
- Back-end Web Development
- Linux
- System Administration
- Python
Career Highlights
- Over eight years of experience in backend engineering.
- Expertise in building scalable data platforms and architectures.
- Proven track record in optimizing data workflows and processes.
Work Experience
Eightfold
Staff Engineer (7 mos)
Lead Engineer (1 yr 6 mos)
Senior Software Engineer (2 yrs 2 mos)
Software Engineer (11 mos)
Qubole
Data Engineer (6 mos)
Virsec Systems
Software Engineer (4 mos)
McAfee
Software Engineer - Tools (2 yrs)
Accenture
Application Development Analyst (10 mos)
Associate Application Development Analyst (1 yr 5 mos)
Qualcomm
Summer Intern (5 mos)
Education
Bachelor of Engineering (B.E.) at PSG College of Technology
Higher Secondary Certificate at St. Joseph Tiruppur