Mohammad Jasim

Associate Consultant

India3 yrs 8 mos experience

Highly Stable

Key Highlights

Influenced over $6M in pipeline revenue.
Achieved 80% technical win rate in PoCs.
Designed scalable architectures for real-time data processing.

Stackforce AI infers this person is a SaaS Solution Architect specializing in real-time data streaming and cloud-native solutions.

Contact

mohammadjasim1608@gmail.com LinkedIn

Skills

Core Skills

Apache KafkaSolution ArchitectureSolution SellingTechnical AdvisoryKubernetesLinuxDocker

Other Skills

Apache FlinkTerraformArchitecture DesignGrafanaJenkinsKafka ecosystem componentsTechnical advisorStrategic ThinkingProof of ConceptSoftware Solution ArchitectureTechnical RequirementsBusiness Case PreparationAccount ManagementStrategic PlanningCustomer Success

About

Solution Engineer with close to 4 years of experience specialising in real-time data streaming and pre-sales technical discovery. Proven track record of leading solution architecture for enterprise customers, PoC engagements and designing automated deployment solutions using Kubernetes and Terraform. Highly certified in the Kafka ecosystem and cloud , with a focus on delivering high-performance, scalable cloud-native architectures that reduce latency and improve system reliability. My career is defined by driving measurable results. At Confluent, I have influenced over $6M in pipeline revenue with an 80% technical win rate by leading complex PoCs and technical discovery for 15+ enterprise accounts. Previously at Oracle, I architected streaming solutions that reduced data processing latency by 80%. Core Expertise: Apache Kafka | Apache Flink | Kubernetes | Terraform | Solution Selling | Architecture Design | Linux | Grafana | Jenkins and more.

Experience

3 yrs 8 mos

Total Experience

3 yrs 4 mos

Average Tenure

4 mos

Current Experience

Confluent

Customer Solutions Consultant

Dec 2025 – Present · 4 mos · India · Remote

Lead architecture for 15+ enterprise customers, managing deployments across multi-cloud environments with
focus on streaming modernization, real-time pipelines, and event-driven transformation.
Orchestrated successful technical PoCs leveraging Kafka ecosystem components (Connect, Flink, ksqlDB),
directly influencing over $6M in pipeline revenue and maintaining a 80% technical win rate.
Provide deep technical guidance on Kafka ecosystem components: Connect, ksqlDB, Schema Registry, RBAC,
Tiered Storage, Cluster Linking, Flink, TableFlow.
Designed scalable reference architecture for migrating legacy MQ and ETL systems to Confluent Cloud, enabling
enterprise customers to process 1-10 TB/day of real-time data while reducing infrastructure TCO.
Conduct performance tuning, sizing, throughput modeling, and reliability reviews.
Collaborate with engineering and product teams to translate customer requirements into product features,
accelerating adoption.
Acted as a trusted technical advisor for 15+ strategic accounts, defining robust streaming KPIs, security
postures, and multi-region scaling strategies that accelerated enterprise adoption.
Develop reusable architecture templates and technical accelerators, reducing the pre-sales discovery cycle for
global teams