Yeshwanth L M — Operations Associate

As an experienced Solutions Engineer/Architect with expertise in AWS, Azure, and Google Cloud solutions architecting , I specialise in building and scaling cutting-edge Data and AI platforms. I am passionate about driving business value by leveraging data-in-motion strategies (Kafka, Flink) and certified technical skills. In my current role at Confluent , I manage the full technical lifecycle, designing compelling Cloud Data and AI solutions utilising technologies like Kafka, Flink, Spark, and Databricks. I have a proven track record of architecting and delivering high-value Proof of Concept (PoC) solutions for enterprise customers, successfully converting opportunities with an ARR of $500K+. I regularly articulate technical and product positioning to diverse stakeholders, including the C-suite, to support sales closure and drive customer consumption. My background also includes extensive experience as a Technical Solutions Engineer at Databricks and an Associate Professional Software Engineer at DXC Technology. I provide technical guidance and develop solutions across all major cloud providers , specialising in distributed systems, microservices, and containers. A key strength is DevOps/Automation , where I've automated infrastructure deployment using Terraform and CloudFormation/Boto3 , reducing deployment time by 40% and manual errors by 25%. I hold multiple key certifications, including AWS Certified Solutions Architect Professional and am recognized as a Microsoft Certified Trainer (MCT) and an AWS Community Builder. I'm also an active community contributor, having been named a Star Performer and receiving multiple IEEE Volunteer Awards. Let's connect if you're exploring the future of real-time data streaming, cloud architecture, or leveraging AI/ML platforms for business transformation. Disclaimer: Views are my own and not of any organization.

Stackforce AI infers this person is a Cloud Solutions Architect specializing in Data and AI platforms for enterprise clients.

Location: Mysore, Karnataka, India

Experience: 4 yrs 11 mos

Skills

Cloud Solutions Architecture
Technical Sales
Data Architecture
Technical Solutions Engineering

Career Highlights

Expert in architecting cloud data and AI solutions.
Proven track record of delivering high-value POCs.
Strong technical acumen in AWS, Azure, and Google Cloud.

Work Experience

Confluent

Pre-sales Solutions Engineer/Architect (1 yr 6 mos)

Databricks

Technical Solutions Engineer (3 mos)

Associate Platform Technical Solutions Engineer (1 yr 5 mos)

DXC Technology

Associate Professional Software Engineer - Cloud/DevOps (1 yr 9 mos)

Intern - Cloud/DevOps (3 mos)

Education

Bachelor of Engineering - BE at PES College of Engineering, Mandya

Yeshwanth L M

Operations Associate

Mysore, Karnataka, India4 yrs 11 mos experience

Key Highlights

Expert in architecting cloud data and AI solutions.
Proven track record of delivering high-value POCs.
Strong technical acumen in AWS, Azure, and Google Cloud.

Stackforce AI infers this person is a Cloud Solutions Architect specializing in Data and AI platforms for enterprise clients.

Contact

Skills

Core Skills

Cloud Solutions ArchitectureTechnical SalesData ArchitectureTechnical Solutions Engineering

Other Skills

Amazon Web Services (AWS)Boto3Cloud InfrastructurePython (Programming Language)DataDeveloperConfluentApache KafkaKafka StreamsStream designSolution ArchitectureArchitectureSystem ArchitectureCloud ServicesLeadership

About

Experience

4 yrs 11 mos

Total Experience

1 yr 8 mos

Average Tenure

1 yr 6 mos

Current Experience

Confluent

Pre-sales Solutions Engineer/Architect

Dec 2024 – Present · 1 yr 6 mos · Bengaluru · Remote

Technical Acumen: Develop a strong technical understanding of the Confluent technologies and use this effectively to discover new customer use cases and build compelling solutions.
Technical Discovery and POC/Pilot Solutions: Gather customer requirements, identify use cases, and facilitate the development of Proof of Concept (POC)/Pilot solutions. Partner with Confluent stakeholders to aid customers in overcoming technical challenges during initial blueprinting and use case deployment.
Value Selling: Clear articulation of Confluent’s technical and product positioning to a wide variety of business and technical stakeholders, and for forging strong relationships with them throughout the sales cycle and beyond.
Prospect Demos and Evangelization: Collaborate with Confluent's Account Executives (AEs) and Sales Development Representatives (SDRs) to bring our offerings to new prospects. Craft and deliver tailored demos that go beyond the standard, showcasing the unique value proposition Confluent has to offer.
Customer Engagement: Offer technical expertise in driving customer consumption through monthly customer health reports, Quarterly Business Reviews, and Quarterly Technical Reviews.
Knowledge Sharing, Workshops, and Training: Support cross-functional teams, including Field Marketing, Partner Solutions by conducting training sessions and workshops/webinars for customers, partners, prospects, and internal teams to educate them on Confluent's platform/cloud, features, and best practices.
RFP/Vendor risk assessment Support: Contribute to vendor risk assessments to ensure a comprehensive understanding of potential risks and opportunities associated with proposed solutions. Assist in answering Requests for Proposals (RFPs) and Requests for Quotations (RFQs).
Technical Artifact Creation and Maintenance: Architect, build, and maintain reusable artifacts, including tools, prototypes, demos, workshops, and architecture blueprints.

Amazon Web Services (AWS)Boto3Cloud Solutions ArchitectureTechnical Sales

Databricks

2 roles

Technical Solutions Engineer

Promoted

Aug 2024 – Nov 2024 · 3 mos · Bengaluru · Remote

Technical Expertise and Solution Design:
Developed a strong technical understanding of Databricks’ unified analytics platform and its integration with multi-cloud ecosystems. Designed scalable data and AI architectures aligned with customer goals to deliver measurable business outcomes.
Customer Discovery and Technical Alignment:
Partnered with customers to uncover technical challenges, data workflows, and business objectives. Led discovery workshops to identify impactful use cases, ensuring alignment with Databricks’ data and AI capabilities in performance, scalability, and cost optimization.
POC Enablement and Delivery:
Owned the POC lifecycle from scoping to success validation, collaborating with internal teams to architect and deploy solutions that demonstrated clear ROI and accelerated customer adoption.
Value-Focused Storytelling and Demos:
Articulated Databricks’ differentiated value to both technical and executive audiences through technical presentations, architectural deep dives, and tailored product demonstrations. Collaborated with Account Executives and SDRs to drive new opportunities and expand usage within existing accounts.
Cross-Functional Collaboration and Knowledge Sharing:
Worked closely with Product, Engineering, and Customer Success teams to channel customer feedback into roadmap discussions. Created demo assets, solution playbooks, and reusable technical artifacts for consistent field enablement.
Customer Success and Growth Enablement:
Supported continued customer success through technical QBRs, usage reviews, and platform optimization sessions. Leveraged platform metrics and architectural insights to identify opportunities for expansion and maturity improvements.
Technical Content Creation:
Developed and maintained solution blueprints, scalable demos, and architecture templates to accelerate sales cycles and enable seamless technical engagement across teams.

Cloud InfrastructurePython (Programming Language)Data ArchitectureTechnical Solutions Engineering

Associate Platform Technical Solutions Engineer

Mar 2023 – Aug 2024 · 1 yr 5 mos · Bengaluru · Remote

Dxc technology

2 roles

Associate Professional Software Engineer - Cloud/DevOps

Jun 2021 – Mar 2023 · 1 yr 9 mos · Remote

AWS Services - EC2, RDS, Security Group, Auto scaling VPC, IAM, S3, EBS, CloudWatch, SNS, SQS, Alarm, NAT, VPN, Elastic IP, Lambda, SSM, Secret Manager, Athena, AWS Transfer Family.
Databricks and Talend Administration
Infrastructure as Code: Terraform and CloudFormation
DevOps Tools: GitHub, Jenkins, Artifactory, XLRelease, Grafana, Kubernetes
Python and Bash scripting