Shivaraj Akula
Senior Data Engineer | Building Intelligent Software with ML, AI & Scalable Data Systems | Python • Azure • SQL
- Role
- Senior Data Engineer at MAQ Software
- Location
- Redmond, WA, US
- LinkedIn followers
- 500 followers
About Shivaraj Akula
I am a Senior Data Engineer with 5+ years of experience architecting scalable distributed…
Experience
Senior Data Engineer
Jun 2024 — Present · Redmond, WA, US
Driving AI & ML-Powered Data Solutions - Designed and implemented AI-driven analytics pipelines, leveraging Python, SQL, and Azure Machine Learning to enhance data-driven decision-making.• Developed predictive models for business intelligence, enabling stakeholders to forecast key metrics with greater accuracy.• Partnered with AI & data science teams to refine ML models for anomaly detection, improving fraud detection and operational efficiency.• Integrated Microsoft Fabric for seamless data access and ML model deployment, reducing data silos across the organization.• Big Data & Cloud Optimization - Engineered and optimized scalable ETL pipelines using Azure Synapse, Redshift, and Databricks, improving data ingestion and processing times by 40%.• Built real-time streaming solutions with Kafka & Spark Streaming to enable low-latency analytics for business operations.• Developed and maintained ETL workflows across cloud data warehouses, ensuring seamless data integration with Trino, Snowflake, and Fabric datasets.• Designed scalable Airflow-based workflows, optimizing automated data pipelines and extending workflow capabilities with DBT & Prefect.• Business Intelligence & Visualization - Led the creation of AI-powered Power BI dashboards, integrating predictive analytics models to offer proactive insights.• Developed interactive visualizations in Power BI and AWS QuickSight, providing real-time performance tracking for leadership.
Education
University of Houston-Clear Lake
Master of Science - MS, Computer Science
Jawaharlal Nehru Technological University
Bachelor of Technology - BTech, Computer Science
2015 — 2019
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