Hari Prasad Tangella

* Lead a 10+ member Data Engineering POD within a centralized Data Insights team of ~50 members, delivering enterprise reporting and data platform solutions for senior technology management.
* Architected and delivered cloud-based data lakehouse solutions using Databricks, Spark, PySpark, Structured Streaming, Delta Lake, ADLS Gen2, Azure Data Factory, Azure DevOps, Python, and SQL.
* Built scalable batch and near-real-time data pipelines integrating structured and semi-structured sources including Oracle, Azure SQL, REST APIs, Kafka, ServiceNow, ITAM, application inventory, and entitlement datasets.
* Designed and implemented near-real-time streaming ingestion systems using Kafka and Spark Structured Streaming to support operational monitoring and analytics use cases.
* Partnered with Data Science / ML teams to create curated, ML-ready datasets for anomaly detection models based on multiple server metrics, helping identify abnormal infrastructure behavior and reduce downtime/cost risk.
* Led technical design, data modeling, pipeline optimization, and production implementation across multiple modules of the Data Insights platform.
* Established engineering practices around data quality, pipeline reliability, DevOps-based deployments, monitoring, and incident resolution.
* Drove stakeholder engagement with senior management and business technology teams to convert reporting and analytics requirements into scalable data products

Machine Learning / ML Data Engineering Exposure
* Built and maintained data pipelines to support ML models for infrastructure anomaly detection.
* Prepared feature-ready datasets from server metrics, application metadata, service management data, and operational logs.
* Collaborated with Data Science teams on data availability, feature quality, historical data preparation, and model input pipelines.
* Supported batch and near-real-time data feeds required for ML experimentation and production analytics.
* Familiar with ML concepts including anomaly detection, feature engineering, model input preparation, training data creation, and model performance monitoring.

• Achieved successful DBAAS migration activities for BIW platforms, enhancing database design, migration planning, performance tuning, and production stabilisation.
  Delivered robust ETL workflows using Informatica, Unix shell scripting, Autosys JIL files, SQL, and PL/SQL, ensuring seamless data integration.
  Ensured high availability of critical daily load jobs, reporting pipelines, and BI applications through effective L3 production support.
  Realised significant performance improvements in SQL queries, supporting business objects reports and Tableau data sources.
  Drove continual service improvement initiatives that resulted in enhanced system reliability, job stability, and operational efficiency.
  Executed comprehensive failure mode and effects analysis, successfully identifying operational risks and implementing mitigation plans.

Achieved robust enterprise database applications through proficient use of Oracle SQL and PL/SQL.
Delivered high-quality logical and physical data models via ERwin, enhancing data management capabilities.
Created effective database packages, procedures, functions, triggers, and validation logic to streamline operations.
Optimised SQL performance through targeted performance tuning and indexing strategies, resulting in improved query response times.
Facilitated seamless enhancement product fixes, client fixes, and effective third-party application integrations.