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Senior Data Engineer with 8+ years building distributed, event-driven data platforms at scale, including real-time CDC pipelines on GCP that stream MySQL and PostgreSQL changes into analytics warehouses for multi-tenant SaaS. Previously built IoT event-processing platforms processing millions of events per day across distributed microservices. Deep expertise in Kafka Connect, Debezium, dbt, Kubernetes, and Terraform—owning end-to-end delivery from fault-tolerant streaming infrastructure through transformation and analytics layers, with strong observability and operational automation to minimize toil and ensure reliability.…Senior Data Engineer with 8+ years building distributed, event-driven data platforms at scale, including real-time CDC pipelines on GCP that stream MySQL and PostgreSQL changes into analytics warehouses for multi-tenant SaaS. Previously built IoT event-processing platforms processing millions of events per day across distributed microservices. Deep expertise in Kafka Connect, Debezium, dbt, Kubernetes, and Terraform—owning end-to-end delivery from fault-tolerant streaming infrastructure through transformation and analytics layers, with strong observability and operational automation to minimize toil and ensure reliability.

Muhammad Khan

Data Scientist, DevOps Developer, Cloud Developer, +1

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Senior Data Engineer with 8+ years building distributed, event-driven data platforms at scale, including real-time CDC pipelines on GCP that stream MySQL and PostgreSQL changes into analytics warehouses for multi-tenant SaaS. Previously built IoT event-processing platforms processing millions of events per day across distributed microservices. Deep expertise in Kafka Connect, Debezium, dbt, Kubernetes, and Terraform—owning end-to-end delivery from fault-tolerant streaming infrastructure through transformation and analytics layers, with strong observability and operational automation to minimize toil and ensure reliability.…Senior Data Engineer with 8+ years building distributed, event-driven data platforms at scale, including real-time CDC pipelines on GCP that stream MySQL and PostgreSQL changes into analytics warehouses for multi-tenant SaaS. Previously built IoT event-processing platforms processing millions of events per day across distributed microservices. Deep expertise in Kafka Connect, Debezium, dbt, Kubernetes, and Terraform—owning end-to-end delivery from fault-tolerant streaming infrastructure through transformation and analytics layers, with strong observability and operational automation to minimize toil and ensure reliability.

Available to hire

Senior Data Engineer with 8+ years building distributed, event-driven data platforms at scale, including real-time CDC pipelines on GCP that stream MySQL and PostgreSQL changes into analytics warehouses for multi-tenant SaaS. Previously built IoT event-processing platforms processing millions of events per day across distributed microservices.

Deep expertise in Kafka Connect, Debezium, dbt, Kubernetes, and Terraform—owning end-to-end delivery from fault-tolerant streaming infrastructure through transformation and analytics layers, with strong observability and operational automation to minimize toil and ensure reliability.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Beginner

Work Experience

Senior Data Engineer at Keap Data Platform (Thryv)

May 1, 2026 - Present

Solely owned the real-time data platform for Keap (fmr. Infusionsoft), a multi-tenant SaaS CRM serving tens of thousands of small businesses. Architected, built, and operated a production CDC pipeline processing ~350K messages/sec using GCP Managed Kafka with Kafka Connect + Debezium to stream MySQL binlog and PostgreSQL WAL changes into BigQuery and Snowflake for 54 business-critical tables. Implemented resiliency improvements by diagnosing and fixing a connector outage root cause related to unstable server_id assignment, redesigned to use replica-bound IDs to eliminate connector collisions. Built automated resilience tooling to detect offset drift, reset stale offsets, and trigger targeted backfills across replica shards, reducing operational toil. Delivered a migration framework supporting zero-data-loss promotions across environments using table-by-table protocols and verification gates. Built and maintained a large dbt transformation layer (745 models) deployed on Cloud Run with

Senior Software Engineer at Verizon (ThingSpace IoT Platform)

March 1, 2020 - February 28, 2026

Designed and delivered distributed, event-driven microservices on Verizon’s 5G Edge and ThingSpace IoT platforms for B2B customers managing and controlling large-scale IoT device fleets, processing millions of events per day across multiple low-latency services. Led end-to-end verification strategy using unit, integration, and system tests (including non-functional requirements like latency/throughput/fault tolerance) to reduce defect rates and post-deploy incidents. Accelerated delivery by automating build/test/deployment pipelines with repeatable, auditable CI/CD workflows. Improved reliability in fault-prone distributed flows by engineering pub/sub messaging patterns with retry logic, idempotency guarantees, and safe partial-failure handling (including Kafka and MQTT). Improved throughput for high-volume workflows by optimizing SQL-based pipelines, mentored junior engineers, led design/code reviews, and established distributed-systems standards. Built high-performance networking

Java Full Stack Engineer at Verizon Wireless (CCRS Migration)

November 1, 2018 - February 28, 2020

Delivered migration of Verizon’s Commission Calculation & Reporting System (CCRS) from a legacy .NET monolith to a cloud-native, microservices-driven Java platform for enterprise commission workflows. Implemented Spring Boot microservices with domain-driven service boundaries and REST APIs, replacing a brittle monolith with independently deployable services. Improved concurrency and code quality by migrating to Java 8 and using streams/lambdas for parallel processing performance gains. Reduced regression cycle time by implementing end-to-end automated tests including Selenium UI tests. Integrated AWS services (S3, EC2, IAM, SQS, CloudWatch) into Jenkins-based CI/CD for reliable deployments across environments. Optimized Oracle/MySQL DAO data access layers to reduce query load on high-frequency financial workflows.

Software Engineer at MarLabs LLC (Pharmacy Clinic Replenishment)

February 1, 2018 - October 31, 2018

Built a distributed pharmacy management platform enabling partner clinics to manage inventory and place drug orders through secure healthcare data exchange. Improved data access performance with Hibernate second-level caching in Spring. Enabled secure healthcare integration via Spring Boot microservices consuming REST and SOAP APIs to meet compliance requirements for regulated inter-system data handling. Increased visibility for clinical teams by building D3.js visualizations analyzing patient admission trends. Accelerated delivery by integrating Docker builds and Jenkins CI/CD pipelines for repeatable deployments in a test-driven development environment.

Software Engineer at Kaligia Biosciences (KBS Data Acquisition & Analytics)

August 1, 2017 - January 31, 2018

Developed acquisition and analytics software processing patient blood sample data from medical devices using signal-processing algorithms for predictive clinical analysis. Designed and developed a Java/Spring MVC data acquisition system integrating with medical hardware and processing sample data for predictive workflows. Implemented PL/SQL stored procedures and triggers to support analytics workflows while ensuring data integrity across acquisition and reporting pipelines.