Nikhil Reddy
Senior Azure Data Engineer @Pharmacord
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WORK HISTORY
Senior Azure Data Engineer @Pharmacord
Driving cloud-native data engineering initiatives in the healthcare domain with a focus on real-time analytics, compliance (HIPAA), and large-scale data processing. Led the design and deployment of secure, scalable pipelines and lakehouse architectures using Azure and modern data stack technologies.Built and scaled data pipelines using Azure Data Factory, Synapse Analytics, and Databricks, processing over 20M+ healthcare records per month from EHR, CRM, and pharmacy systems.Designed a HIPAA-compliant Azure Lakehouse to enable real-time pharmacy adherence tracking and reduce reporting latency by 45%.Developed real-time data streaming pipelines with Apache Kafka, Azure Event Hubs, and Stream Analytics, achieving sub-minute alerting SLA for pharmacy adherence.Optimized Snowflake for complex workloads using features like Time Travel and Zero-Copy Cloning, improving query performance by 60%.Automated CI/CD workflows for data pipelines using Azure DevOps and Terraform, reducing deployment effort by 70% and minimizing manual errors.Created modular data models with DBT and Delta Lake, ensuring secure and standards-aligned healthcare transformations across raw and curated layers.Implemented data governance and metadata management with Azure Purview, Unity Catalog, and Azure Key Vault to support Zero Trust architecture and full auditability of clinical data.Developed executive-level Power BI dashboards for pharmacy performance metrics, reducing manual reporting needs by 80%.Led the migration of legacy on-prem SQL workloads to Azure Synapse and Snowflake, enhancing scalability and reducing operational overhead.Mentored junior engineers and collaborated with analytics, DevOps, and data science teams to align technical outputs with business goals.
EDUCATION
BRILLIANT COLLEGE OF EDUCATION
Bachelor's degree
Trine University
Master's degree
ABOUT NIKHIL REDDY
I’m Azure Data Engineering professional with extensive experience designing, building, and optimizing scalable, secure, and compliant data platforms across Azure and hybrid cloud ecosystems. With a proven track record at leading enterprises such as JPMorgan Chase, Starbucks, and healthcare clients, I specialize in architecting end-to-end data pipelines, lakehouse architectures, and real-time streaming solutions that power business-critical analytics, regulatory compliance, and data-driven decision-making.My expertise spans the full data lifecycle from ingesting and transforming petabytes of structured and unstructured data, to implementing robust governance frameworks aligned with HIPAA, SOX, GDPR, and CCPA. I am proficient in Azure Data Factory, Databricks (PySpark), Synapse Analytics, Kafka, Snowflake, DBT, and CI/CD automation, delivering pipelines that reduce latency, improve data quality, and accelerate insights.Key strengths include:Designing enterprise-grade ETL/ELT pipelines handling 20M+ records/month for healthcare and retail domainsDeveloping real-time streaming architectures with Azure Event Hubs and Kafka to support fraud detection, inventory monitoring, and customer engagementBuilding and optimizing Delta Lake and Snowflake environments for high-performance, compliant data lakes and warehousesImplementing automated deployment and monitoring with Azure DevOps, Terraform, and custom telemetry to ensure operational excellenceCollaborating cross-functionally with data science, analytics, and business teams to translate complex requirements into actionable data products and dashboardsLeading data governance, security, and compliance efforts with Azure Purview, Key Vault, RBAC, and encryption best practicesI’m passionate about mentoring teams, sharing best practices, and continuously evolving data architectures to meet growing business demands in regulated industries. If you’re looking to build scalable, resilient, and compliant data platforms that drive measurable business impact, let’s connect!Here are my detailsEmail : n••••••••@gmail.comContact:(80••••••67
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