➡️ Phase 2: Data Engineer - Cloud Transformation and ELT Strategy
Focus: Cloud-Native ELT, Data Modeling, Governance, and Analytics (Snowflake, DBT, Azure Synapse).
- Experienced in the design of transformation pipelines using DBT directly within snowflake to enhance analytics and reporting capabilities, execute tests, and automate documentation.
- Designed and implemented a unified API management layer using Kong, streamlining connectivity between disparate cloud services and internal data sources while enforcing robust security protocols and monitoring.
- Executed data ingestion from diverse enterprise sources via REST/SOAP APIs, levearging Kong API gateway for secure authentication, rare limiting, and centralized traffic management to ensure high-availability extraction.
- Led a technical evaluation and deployment of Kong API Gateway to modernize the API infrastructure, resulting in improved latency and more granular control over service-to-service communication during cloud transformation.
- Conducted robust data quality checks and developed reusable dbt models and macros for increased development efficiency and enhanced governance across the transformation layers.
- Worked on ELT strategy and development across multiple cloud warehouses, including snowflake, DBT, and Azure Synapse Analytics..
➡️ Phase 1: ETL Lead - Core ETL Development
03/2018 - 02/2022
Focus: Foundational ETL, Project Management, and Legacy/On-Premises Tools.
- Managed project scope, schedule, and cost throughout the delivery life cycle.
- Developed complex ETL workflows using SSIS, Informatica, PowerCenter, and Talend.
- Collaborated with cross-functional source teams to identify and implement
improvements in data systems.
- Designed and implemented slowly changing dimensions (SCDs) for tracking historical data changes within the relational data warehouse.
- Executed successful ETL and reporting rollouts across multiple geographies, streamlining deployment processes, ensuring compliance with business rules and data regulations.
- Performed database monitoring, backup, recovery, and performance tuning
to ensure system integrity.
- Conducted data quality checks and developed reusable ETL components for efficiency.
- Crafted custom ETL (Extract, Transform, Load) processes tailored to specific project needs, enhancing data usability.