Aziz S.

About Aziz S.

Experienced Data Engineer | Cloud Infrastructure SpecialistProgramming/Environment: Python, Jupyter Notebook, Hadoop, Spark (Pyspark), Big DataGoogle Cloud Platform, AWS Palantir Technologies PlatformSolid background in data science, big data, and cloud infrastructure. Over the course of my career, I have gained valuable experience working with platforms such as Cloudera, Google Cloud, and AWS, honing my skills across a wide range of technologies and tools.I\'m really excited to learn more about cloud infrastructures and how they can benefit companies in the long run. I\'m also looking forward to exploring topics related to generative AI and expanding my knowledge in this field.

Experience

1. Data & Analytics Consultant

   Slalom

   Sep 2019 — Present

   Project 4 - Large Financial Institution - Anthos• Leveraged Terraform to deploy a GKE cluster in GCP.• Developed a CI/CD pipeline in Azure DevOps to support the project.• Registered the GKE cluster to Anthos using Terraform.• Demonstrated the Anthos config management capability by syncing an external repository and applying policies to the cluster.• Presented Anthos features, capabilities, and use cases to the client.• Contributed to the creation of an Anthos runbook, documenting Anthos and its benefits and limitations.• Participated in the final readout session with clients.Project 3 - Consumer Product Store - Anthos Implementation• Worked as a DevOps engineer and cloud engineer.• Built a CI/CD pipeline to support the implementation of a GCP foundational project bootstrap.• Utilized Terraform to implement the creation of GCP organization, project folders, networking, and security.• Participated in the deployment of a GKE cluster, registering it through Anthos, and deploying a sample application.Project 2 - Consumer Goods Product• Led as a data engineer, supporting other team members in their work.• Implemented a near-real-time data ingestion pipeline using cloud functions to trigger events, which then utilized airflow to read data from cloud storage, process it, and load it into BigQuery.• Designed and implemented a pipeline that processed files from Google Cloud Storage and uploaded them to Salesforce using its API.• Collaborated with analysts to create complex BigQuery datasets for Tableau reporting.• Utilized Airflow\'s dynamic DAG feature, leveraging existing Python code to enable configuration-based DAG creation and improve maintenance.• Facilitated standup meetings with the client.Project 1 - Consumer Goods Product• Built an airflow pipeline framework enabling other developers to create DAGs.• Analyzed and wrote complex queries in BigQuery, optimizing them for performance.

Education

• University of Wisconsin-Madison

  Bachelor, Business Administration; Actuarial Science

  2006 — 2008

• Wisconsin School of Business

  Bachelor Of Business Administration, Actuarial Science

  2006 — 2008

• University of St. Thomas

  Master's degree, Computer Software Engineering

  2012 — 2015