Mansi Dhaka — Data Engineer

Results-driven Data Engineer with years of experience in designing and optimizing scalable data solutions across enterprise environments. Skilled in building robust data ingestion pipelines, streamlining data infrastructure, and enabling large-scale analytics. Currently supporting end-to-end data workflows at TD Bank, leveraging Azure Data Factory, Data Lake, and Databricks to deliver high-quality, reliable data to analytics and data science teams. Experienced in handling diverse file formats, integrating tools like GoldenGate, and optimizing performance across cloud-based pipelines. Previously contributed at Amdocs, leading production deployments and enhancing systems serving millions of real-time telecom subscribers. Strengths include database optimization (Hadoop, PostgreSQL), automation with Python and Shell scripting, and managing containerized services using Kubernetes and OpenShift. Experienced Software Engineer with a demonstrated history of working in the telecommunications industry. Proven ability to develop and manage cross-site teams and achieve on-time project completion. Experience in building software for Telecom BSS Charging and Event Processing and working for successful deployments and migration of major telecom projects. Gained experience working as Scrum Master. Hands-on experience in C, C++, JAVA, Spring, Spring Boot, Microservices, RestAPIs, SQL, Linux, Oracle, Unix, Shell scripting, Hadoop, Impala, SoapUI, Cloudera, Jira, Postman, Kafka, Bitbucket, Airflow, Perforce, Kubernetes, PostgreSQL, Liquibase, Confluence

Stackforce AI infers this person is a Data Engineer specializing in telecommunications and cloud-based data solutions.

Location: Toronto, Ontario, Canada

Experience: 8 yrs 6 mos