Akhila Boga

Data Engineer @BlackRock

NY, US

Optimized big data workflows in Azure Databricks (Delta Lake) through Z-Ordering, Auto Optimize, caching, and adaptive query execution, achieving 40% faster processing times and 25% lower compute costs.• Architected and maintained real-time data streaming pipelines using Apache Kafka, Apache Flink, Apache Airflow, and Azure Synapse Analytics, enabling sub-second latency analytics for high-frequency market data and corporate actions.• Designed and implemented a centralized data transformation framework using dbt Core and advanced SQL, standardizing business logic across 30+ Aladdin pipelines, increasing data quality by 40% and reducing development time by 25%.• Developed LLM-powered data extraction pipelines leveraging LangChain, OpenAI APIs, and Retrieval-Augmented Generation (RAG) to ingest and classify unstructured financial documents (e.g, ESG reports, prospectuses); achieved 95% accuracy.• Built machine learning pipelines in Python using scikit-learn, PySpark MLlib, and automated feature engineering and hyperparameter tuning, improving model accuracy for predictive maintenance by 35% and reducing false positives by 20%.• Created CI/CD pipelines using Jenkins, Docker, and Kubernetes for automated infrastructure deployment; reduced release cycles by 50% and ensured consistency through Infrastructure as Code (IaC) using Terraform