Sudarshan Maskare — Software Engineer
▂▃▅▇█▓▒░ 𝙴-𝚖𝚊𝚒𝚕 – sudarshanmaskare@gmail.com ░▒▓█▇▅▃▂ “As a Software Engineer with 2.5 years of experience, I specialize in designing resilient, scalable backend systems and high-throughput data pipelines. My work consistently bridges the gap between robust engineering and business impact.” I'm deeply passionate about solving real-world engineering problems through clean architecture, distributed systems design, and performance-oriented coding. At my current organization, I’ve been instrumental in building and maintaining critical data ingestion and transformation pipelines using Apache Airflow, enabling reliable, fault-tolerant orchestration of complex ETL workflows that support near real-time analytics. I've helped drive backend infrastructure improvements by: Architecting and deploying Kafka-based streaming solutions to ensure low-latency event processing and decoupled service communication. Designing and optimizing Snowflake, BigQuery, ClickHouse, and Druid schemas for performance, leading to significant query time and cost reductions across high-volume workloads. Leading initiatives to enforce data governance and schema evolution strategies, ensuring long-term maintainability of data lakes and warehouses. I actively contribute to our internal microservices ecosystem, building RESTful and GraphQL APIs for inter-service communication with strong attention to modularity, versioning, and observability (using tools like Prometheus and Grafana). On the infrastructure side, I: Deploy and manage containerized workloads via Docker and Kubernetes, following GitOps best practices and Helm-based deployments. Work closely with DevOps teams to automate CI/CD pipelines and ensure secure, reliable deployments across environments. Leverage AWS services (S3, EC2, CloudWatch, Lambda) to enhance cloud-native architectures with cost-effective scaling and monitoring. Beyond implementation, I help drive system-level thinking within the team by mentoring newer engineers, conducting deep-dive sessions, and advocating for performance benchmarking and profiling. My commitment lies in delivering future-proof solutions that not only solve the problem at hand but scale with evolving product needs. Whether it's optimizing a slow-running query, debugging a flaky DAG, or re-architecting a dataflow to reduce operational load — I treat each task as an opportunity to raise the technical bar for the team.
Stackforce AI infers this person is a Backend Engineer specializing in Data Engineering and API Development within the Healthcare and Finance sectors.
Location: Pune, Maharashtra, India
Experience: 2 yrs 8 mos
Skills
- Apache Kafka
- Data Engineering
- Api Development
- Software Engineering
- Competitive Programming
- Devops
Career Highlights
- Expert in building scalable data pipelines.
- Proficient in real-time data processing and analytics.
- Strong background in mentoring and team leadership.
Work Experience
DeepIntent
Software Engineer (2 yrs 5 mos)
Credit Suisse
Software Engineer (3 mos)
Bloomberg
Bloomberg Accelerator Fellow (1 mo)
PayU
Software Engineer (4 mos)
Credit Suisse
Technology Analyst (Summer Intern) (2 mos)
iMocha
Problem Curator (1 yr)
PICT ACM Student Chapter
Member of Technical team (1 yr 1 mo)
PICT CSI STUDENT BRANCH (PCSB)
Vice-Head of Competitive Programming team (11 mos)
Education
Bachelor of Engineering - BE at Pune Institute of Computer Technology
Higher Secondary Education at Lal Bahadur Shashtri Dnyanpeeth and Junior College
Secondary Education at Saint Paul's Academy
