Hazzy M

Senior Data Solution Architect

I design, develop, and optimize scalable data solutions across cloud platforms using cutting-edge tech like Spark, Kafka, Databricks, and more.

Summary

Results-driven Senior Data Solution Architect with over 11 years of experience in designing, developing, and optimizing scalable data solutions. Expertise in ETL pipelines, big data processing, and cloud-based architectures, utilizing Talend, Apache NiFi, Apache Airflow, and Informatica. Specialized in data warehousing methodologies (Star Schema, Snowflake Schema, Data Vault) and cloud platforms (AWS, Azure, GCP). Proficient in big data technologies such as Hadoop, Spark, Kafka, and HDFS, with a strong focus on real-time data streaming and distributed systems architecture.

Services I Offer

With over 11 years in the industry, I specialize in:

Data Architecture & Engineering

Enterprise-grade architectures across AWS, Azure, and GCP.

ETL / ELT Development

Data Lake & Lakehouse Solutions

Cloud Migrations

Big Data & Streaming

Real-time data streaming, big data processing, and batch pipelines.

Apache Kafka, Spark, Flink

Hadoop Ecosystem

Data Warehousing

ML & Visualization

Seamless ML integration and business intelligence solutions.

TensorFlow, PyTorch, Sklearn

Tableau, Power BI, QuickSight

Databricks

Tools & Technologies

Proficient in a wide range of tools and technologies for data engineering, machine learning, and cloud solutions:

AWS

Azure

GCP

Apache Spark

Kafka

Hadoop

Talend

Apache Airflow

Databricks

Snowflake

TensorFlow

PyTorch

Tableau

Power BI

Docker

Kubernetes

Experience

Data Solution Architect - ApTask

April 2021 - Present

Designed and implemented enterprise-level data architectures across cloud platforms
Developed ETL pipelines using Talend, Apache Airflow, and Informatica
Led migration of on-premises data warehouses to AWS, Azure, and GCP
Integrated machine learning models into operational workflows
Established real-time data streaming solutions using Kafka and AWS Kinesis

Senior Data Engineer - Petra Power

July 2017 - March 2021

Developed large-scale data pipelines using Hadoop, Spark, and Kafka
Designed distributed storage solutions using HDFS and Amazon S3
Automated ETL workflows with Apache NiFi and Airflow
Collaborated with data science teams to deploy ML models on Databricks
Implemented performance tuning for Apache Spark

ETL & Data Warehouse Engineer - ProCogia

February 2014 - June 2017

Designed and maintained ETL pipelines using Talend and SSIS
Architected data warehouse solutions using dimensional modeling
Developed real-time data integration for healthcare analytics
Created interactive dashboards using Tableau and Power BI
Spearheaded cloud migration initiatives to AWS and GCP