Utkarsh Mittal

Software Engineer

Bengaluru, Karnataka, India6 yrs 7 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Architected multi-service orchestration systems for enterprise clients.
Reduced S3 API scan costs by 50% through innovative optimizations.
Led initiatives improving application performance by 60%.

Stackforce AI infers this person is a Backend-focused Software Engineer specializing in SaaS and cloud-native systems.

Contact

umittal@cisco.com LinkedIn

Skills

Core Skills

Backend DevelopmentDistributed SystemsData ProcessingCloud ComputingSystem DesignCloud ArchitectureQuality AssuranceSoftware DevelopmentMachine Learning

Other Skills

API data handlingAWS LambdaAWS Step FunctionsAlgorithm DesignAlgorithmsAmazon RedshiftAmazon Relational Database Service (RDS)Amazon S3Amazon Web Services (AWS)Analytical SkillsApache KafkaApache SparkArtificial Intelligence (AI)Artificial Neural NetworksBig Data

About

I’m a backend-focused Software Engineer with 4+ years of experience building scalable, cloud-native systems in fast-paced enterprise environments. Currently at Cisco SD-WAN Analytics, I architect multi-service orchestration pipelines, optimize Redshift data ingestion, and improve system observability across global clusters. My expertise spans backend development, distributed systems, microservices, oAuth, security RESTful APIs, large-scale data processing, Generative AI, and RAGs. I’ve designed and delivered backend platforms using Python, FastAPI, Flask, Django, SQL, and PostgreSQL. I’ve led initiatives that reduced S3 API scan costs by 50% using metadata-driven optimizations, automated regression testing pipelines, and implemented intelligent routing with telemetry data, improving application performance by 60%. Skilled in AWS (Lambda, ECS, EC2, SQS, SNS, Step Functions, Redshift, RDS, CloudWatch), Terraform, Docker, GitHub Actions, Jenkins, and caching strategies using Redis and Memcached. Strong foundation in data structures, algorithms, multithreading, and system design. I hold a B.E. from Jadavpur University and completed the Tech Leaders Fellowship at Plaksha University, where I specialized in AI, machine learning, deep learning, and entrepreneurship.

Experience

6 yrs 7 mos

Total Experience

3 yrs 3 mos

Average Tenure

4 yrs 10 mos

Current Experience

Cisco

3 roles

Software Engineer III

Promoted

Sep 2023 – Present · 2 yrs 9 mos · Bangalore Urban, Karnataka, India

∗ Acted as a key owner of a large-scale ELT pipeline processing 1.5+ PB of data weekly with 5-minute recency,
leveraging AWS Step Functions, Kinesis, Redshift stored procedures, and custom state machines to orchestrate
real-time, fault-tolerant ingestion across multiple clusters.
∗ Architected a robust multi-service orchestration system to dynamically onboard 4k+ enterprise customers to
multiple Redshift clusters, leveraging metadata-driven sizing, automated weekly refreshes, and real-time
capacity analysis to ensure optimal resource utilization, data recency, and stable ingestion.
∗ Designed and implemented automated regression testing pipeline for vAnalytics, covering processed, unprocessed,
and live API data, resulting in 60% reduction in post-deployment issues and enabling faster and safer releases.
∗ Reduced S3 Scan API costs by over 50% by introducing metadata files for S3 objects, significantly decreasing API
scan frequency and storage costs.
∗ Delivered product demos and feature deep-dives to 1000+ people across Cisco, strengthening visibility and product
alignment.
∗ Addressed and resolved multiple customer issues across vAnalytics features and improved customer satisfaction.

AWS Step FunctionsKinesisRedshiftELTdata ingestionBackend Development+1

Software Engineer II

Promoted

Aug 2021 – Sep 2023 · 2 yrs 1 mo · Bangalore Urban, Karnataka, India

∗ Integrated Microsoft and Webex telemetry data with SD-WAN to optimize data path selection, improving application feedback by 60 \%, by designing and implementing a score-based path selection system that dynamically determines optimal routing.
∗ Built a consistent monitoring framework for the vAnalytics pipeline across all clusters and regions, ensuring reliability and proactive issue detection.
∗ Introduced Lambda extensions into vAnalytics, creating a standardized approach for handling timeouts and improving scalability.

Microsoft telemetry dataWebex telemetry datascore-based path selectionBackend DevelopmentDistributed Systems

Software Engineer

Apr 2021 – Jun 2021 · 2 mos · Bangalore Urban, Karnataka, India

Built a hierarchical Transformer model for anomaly detection in system log files, leveraging advanced deep learning techniques to enhance reliability and performance in monitoring workflows.

Transformer modelanomaly detectiondeep learningMachine LearningBackend Development