Turn Data Into Competitive Advantage

Modern data science, machine learning engineering, and cloud data platform expertise for Australian enterprises

Data Science Expertise

Predictive modeling, statistical analysis, and actionable insights

ML Engineering

Production-ready models, deployment, and MLOps

Cloud Data Platforms

AWS, Databricks, Snowflake, and modern infrastructure

Available for consulting and contract work in Australia

Technical Expertise & Tools

Hands-on experience with the modern data platforms and tools that drive enterprise data strategy. Every tool here represents practical, production-level expertise.

Data Platforms

AWS Data Services

S3, Redshift, Glue, Lambda, EMR, Athena

Databricks

Apache Spark, Delta Lake, MLflow, lakehouse architecture

Snowflake

Data warehouse, analytics, data sharing, governance

Fivetran

Data ingestion, ELT pipelines, connector management

Analytics & BI

Power BI

Dashboard design, reporting, data modeling, DAX

Data Modeling

Schema design, dimensional modeling, star schemas

Business Analytics

KPI tracking, performance analysis, insights generation

Reporting

Automated reporting, distribution, self-service analytics

Core Disciplines

Data Science

Predictive modeling, statistical analysis, feature engineering

Machine Learning Engineering

Model development, training, deployment, MLOps

Data Engineering

Pipeline design, ETL/ELT, data architecture

Data Pipelines

Ingestion, orchestration, quality, monitoring

Additional Technical Expertise

Python & SQL
Scala & Spark
Git & Version Control
Jupyter & Notebooks
scikit-learn & TensorFlow
Data Governance & Quality

Why Choose This Professional

Full-Stack Data Capability

End-to-end expertise spanning data science, machine learning engineering, and cloud data infrastructure. No gaps between modeling and deployment — you get someone who understands the complete pipeline.

Hands-On Cloud Platform Experience

Practical, implementation-focused work with AWS, Databricks, Snowflake, and Fivetran. Not theoretical knowledge — real experience building and optimizing data infrastructure at scale.

Microsoft Certified Data Professional

Verified credentials that validate expertise in modern data platforms and cloud architecture. Demonstrates commitment to continuous learning and industry standards.

Pipeline & Warehouse Implementation Expertise

Proven ability to design and deploy data pipelines, data warehouses, and lakehouses that actually work. Understands the practical challenges of data architecture modernization.

Australia-Based & Available

Local presence in the Australian market with understanding of regional business context. Available for consulting, contract work, and project-based engagements.

Madhur Sabherwal professional data science expertise and technical credibility

Core Services

A comprehensive range of data science, machine learning, and cloud data engineering capabilities designed to solve real business challenges.

Data Science & Modeling

Predictive modeling, classification, regression, and statistical analysis to uncover patterns and drive data-informed decision making.

Machine Learning Engineering

End-to-end ML pipeline development, model deployment, monitoring, and optimization using modern frameworks and MLOps practices.

Cloud Data Engineering

AWS, Databricks, and Snowflake expertise for building scalable data infrastructure, data lakes, and cloud-native architectures.

Data Pipeline Design & Implementation

ETL/ELT pipeline architecture, data ingestion automation, orchestration, and quality validation for reliable data flow.

Data Warehouse & Lakehouse Architecture

Modern warehouse and lakehouse design using Snowflake, Databricks, and AWS, including data modeling and performance optimization.

Business Intelligence & Reporting

Power BI dashboards, data visualization, self-service analytics, and automated reporting to drive business insights and decision velocity.

Data Analysis & Insights

Exploratory analysis, anomaly detection, performance benchmarking, and strategic insights to support business strategy and optimization.

AWS Data Services

End-to-end AWS data solutions including S3, Redshift, Glue, Lambda, EMR, and other services for enterprise-scale data operations.

Looking for something specific? These services can be combined and customized based on your project needs. Whether you're modernizing existing data infrastructure, building from scratch, or optimizing current systems, I can tailor an approach that fits your timeline and technical requirements.

Get in touch to discuss your project and determine the best service combination for your organization.

Professional Certifications & Credentials

Verified expertise in modern data platforms and cloud services. Industry-recognized certifications that validate technical depth and commitment to professional excellence.

Microsoft Certified: Data Engineer Associate

Microsoft Corporation

Validates expertise in designing and implementing data solutions using Azure and Databricks. Demonstrates proficiency in data ingestion, transformation, and storage using modern cloud data platforms.

Azure Databricks Data Engineering

Microsoft Certified: Data Scientist Associate

Microsoft Corporation

Demonstrates advanced proficiency in machine learning and data science using Python, Azure Machine Learning, and Spark. Validates ability to build, train, and deploy ML models at scale.

Machine Learning Python Azure ML

AWS Certified Solutions Architect – Professional

Amazon Web Services

Demonstrates advanced expertise in designing scalable, resilient, and secure AWS solutions. Validates ability to architect complex data solutions using S3, Redshift, Glue, and other AWS data services.

AWS Cloud Architecture Data Services

Databricks Certified Associate Data Engineer

Databricks

Certifies proficiency in using Databricks and Apache Spark to process and analyze large-scale data. Validates expertise in building ETL pipelines, optimizing performance, and working with Delta Lake.

Databricks Apache Spark Delta Lake

Continuous Learning

Actively pursuing advanced certifications and staying current with emerging data platforms and machine learning techniques.

Industry Standard

All certifications are from industry-leading organizations and require regular renewal to maintain current status.

Practical Application

Certifications are backed by hands-on experience with real-world data engineering and machine learning projects.

Verify Your Confidence

These certifications represent verified expertise in the tools and platforms your organization needs. Ready to discuss how this expertise can solve your data challenges?

Get in Touch

Ready to transform your data infrastructure?