Certified Data & AI Lifecycle Expertise

Welcome to my portfolio. I am a Data Platform and AI Engineer with relevant certifications across all the skillsets mentioned below, demonstrating end-to-end mastery of the data and AI lifecycle.

My Expertise Across the 9 Stages of the Data Lifecycle

1. Data Ingestion & Collection

I design and implement robust pipelines for gathering raw data from diverse sources, ensuring scalable and reliable data acquisition.

Kafka Apache Kafka Fabric Fabric Data Engineer AWS AWS Data Engineer GCP GCP Data Engineer

2. Data Storage

My expertise covers designing and managing optimized storage solutions, from data lakes to data warehouses, across various cloud environments.

Fabric Azure Fabric Data Engineer AWS AWS Data Engineer GCP GCP Data Engineer Azure Azure Soln Architect

3. Data Processing & Transformation

I transform raw, disparate data into clean, valuable assets using large-scale ETL/ELT operations and distributed processing frameworks.

Databricks Databricks Spark Fabric Fabric Data Engineer AWS AWS Data Engineer GCP GCP Data Engineer

4. Data Orchestration & Pipelines

I build and manage automated data workflows, ensuring timely and reliable execution of complex data pipelines across diverse systems.

Airflow Astronomer Airflow Fabric Fabric Data Engineer AWS AWS Data Engineer GCP GCP Data Engineer Azure Azure Soln Architect

5. Data Analysis & Modeling (AI/ML)

I extract actionable insights and develop advanced machine learning models for predictive analytics and intelligent applications.

Fabric Azure Fabric Data Analytics Engineer Databricks Databricks Spark Azure Azure DS AWS AWS ML GCP GCP ML Azure Azure AI Github Github Copilot

6. Data Visualization & Reporting

I translate complex data into clear, compelling narratives through interactive dashboards and reports, empowering data-driven decision-making.

Tableau Tableau Google Data Studio Google Data Studio Python Python Dashboard (D3 & others) Fabric Fabric Data Analytics Engineer

7. Model Deployment & Operationalization (MLOps)

I operationalize machine learning models, deploying them into production environments with robust MLOps practices for scalability and reliability.

Kubernetes Kubernetes Admin Azure Azure AI AWS AWS ML GCP GCP ML Azure DevOps Azure DevOps Expert Github Github Actions

8. Monitoring & Governance

I ensure the continuous health, quality, and compliance of data and AI systems through comprehensive monitoring and governance frameworks.

Azure Azure Soln Architect Azure DevOps Azure DevOps Expert Github Github Actions Kubernetes Kubernetes Admin

9. DevOps & CI/CD

I implement robust DevOps practices and CI/CD pipelines, automating the entire development and deployment lifecycle for data and AI solutions.

Azure DevOps Azure DevOps Expert Github Github Actions Github Github Copilot Kubernetes Kubernetes Admin