Professional Overview
Develops reusable, parameter-driven data pipelines using Azure Synapse for automated data ingestion.Supports the design of cloud-native solutions in collaboration with product managers and cross-functional stakeholders.Implements complex SQL transformations to refine semantic layers for business intelligence and reporting tools.Improves query performance by 20% within distributed systems through strategic indexing and query tuning. (Metric 1)Builds automated monitoring scripts in Python to detect data quality anomalies across high-volume transactions.Optimizes data workloads to increase overall pipeline reliability by 15% during peak processing periods. (Metric 2)Collaborates with engineers to integrate backend components into cohesive, scalable, and high-performance solutions.Participates in daily stand-ups and Agile sprints to align technical development efforts with product goals.Integrates Fivetran connectors to streamline data ingestion from external APIs and third-party platform sources.Automates 5 recurring manual reports by implementing dynamic SQL procedures and dashboard updates. (Metric 3)Reduces storage overhead by 12% by cleaning and developing data models using strict normalization. (Metric 4)Completes thorough code reviews and data validation tests based on Test-Driven Development (TDD) principles.Decreases pipeline latency by 30% through refactoring ETL logic and implementing incremental loading. (Metric 5)Documents 50+ key business metrics in detailed data dictionaries to enhance transparency and data literacy. (Metric 6)Tests new software features in collaboration with cross-functional partners to ensure production stability.
Areas of Expertise
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
