Typical Project Experience Required
Project: Enterprise Data Platform Modernization on Azure/AWS
Role: Technical Lead / Data Lead
Project Overview:
Led the design and implementation of a cloud-based enterprise data platform to consolidate data from multiple business applications, enabling advanced analytics, reporting, and business intelligence.
Responsibilities:
- Designed scalable Data Lake, Data Warehouse, and Lakehouse architectures on Azure/AWS.
- Led migration of on-premises data platforms to cloud environments.
- Built ETL/ELT pipelines using Azure Data Factory, Databricks, and Snowflake.
- Integrated data from ERP, CRM, and third-party systems.
- Developed real-time and batch data processing frameworks.
- Implemented data governance, security, and compliance standards.
- Created executive dashboards and reporting solutions using Power BI and Tableau.
- Managed technical teams and coordinated with business stakeholders.
- Conducted solution reviews, architecture discussions, and client presentations.
- Ensured platform scalability, performance optimization, and cost efficiency.
Technologies:
- Azure (ADF, ADLS, Synapse, Databricks)
- AWS (S3, Glue, Redshift, EMR)
- Snowflake
- Databricks
- Power BI
- Tableau
- SQL
- Python
- ETL/ELT Frameworks
Business Outcomes:
- Reduced reporting turnaround time by 70%.
- Enabled centralized enterprise analytics.
- Improved data quality and governance.
- Successfully migrated legacy data workloads to the cloud.
- Supported business decision-making through real-time dashboards and insights.
