SIVAKRISHNA REDDY SUNKARA

Led end-to-end multi-cloud migration for one of America's largest financial institutions, enforcing enterprise security practices aligned to organizational compliance. Designed high-level and low-level architecture documents, built Azure Policies and HashiCorp Vault roles for Ephemeral Service Principals, and delivered enterprise AI search and machine learning capabilities alongside a SIEM posture using PRISMA Cloud and Splunk.

Led migration of a legacy on-premise Cloudera Hadoop ecosystem to cloud-based offerings for a global investment management and insurance company. Architected Terraform modules for Azure and GCP, built ETL pipelines with Azure Data Factory and Synapse Analytics, and enabled real-time data ingestion via Azure Event Hubs — scaling the platform into the advanced analytics space.

Architected an IoT streaming analytics platform for North America's leading commercial vehicle manufacturer. Ingested real-time data from producers into Azure Event Hubs, captured streams into Azure Data Explorer via consumer groups, processed ring-buffer data, and built predictive models using Databricks. Delivered interactive PowerBI dashboards and automated infrastructure through Terraform and Jenkins CI/CD pipelines.

Built a cloud-based agricultural intelligence platform to maximize income for land-owning and landless rural populations. Designed ADF ETL pipelines, developed a Tabular Model in Azure Analysis Service, automated stored-procedure triggers using Azure Automation and Function Apps, and built a robust ML yield-prediction model using Azure Machine Learning — all surfaced through seamless PowerBI dashboards.

Engineered an AI-driven talent acquisition platform with multilingual CV parsing and semantic job matching. Built BullHorn API integrations with major job portals, deployed an Automation Anywhere bot for keyword processing and candidate acknowledgement, created a semantic search engine using Elasticsearch with text embeddings, and wired a Business Chat API via Docker webhooks — end-to-end candidate matching at scale.

Administered Informatica Intelligent Cloud Services (IICS) for a major independent energy company operating across US resource plays. Configured groups, users, and seamless source-to-target connections, built data integration pipelines extracting from SAP HANA into Snowflake, performed data cleansing and wrangling via IICS Mappings, and delivered executive PowerBI dashboards monitoring pipeline performance.

Automated sprint and project management workflows for one of the world's largest healthcare companies. Configured Azure DevOps projects and Zoho Sprint boards, triggered DevOps pipelines via Azure App Services to auto-create tasks and epics from email events, built scheduling logic tied to mail occurrence patterns, and wired Logic Apps to compose and assign ticket subjects and bodies programmatically.

Built an end-to-end ML prediction platform for one of the largest pre-owned vehicle marketplaces. Collected data from disparate sources via Azure Data Factory, staged and processed it through Synapse Analytics using Databricks and SQL pools, trained a classification model to predict purchase likelihood, and surfaced predicted outputs to end users through PowerBI dashboards.

Engineered a predictive analytics platform on GCP to surface insights on opioid distribution patterns and mortality across age groups and regions for a global management consulting firm. Collected multi-source data into BigQuery, pre-processed and wrangled at scale, administered the GCP AI Platform, built a robust predictive model deployed into a private network AI Hub, and delivered an interactive PowerBI frontend with demographic and geographic parameters.