Anil Kumar Palauri
Solution Architect Manager/Life Science(Clinical Trial Expert)
Bengaluru
Summary
AWS Certified Solution Architect with 15 years of extensive experience in cloud architecture across AWS and Azure, specializing in Python development and big data solutions for the life sciences and clinical trials sectors. Proven track record in designing scalable, compliant, and AI/ML-driven solutions for leading global pharmaceutical companies, including Roche, Novartis, and Pfizer. Expertise in leading cross-functional teams, managing client engagements, and driving large-scale cloud transformation programs while ensuring adherence to regulatory compliance standards such as GxP, GDPR, HIPAA, and FDA 21 CFR Part 11. Recognized for mentoring teams, optimizing costs through FinOps strategies, streamlining operations, and delivering zero-downtime releases in highly regulated environments.
Overview
17
17
years of professional experience
3
3
Certifications
Work History
Senior AWS Solution Architect / FinOps Lead
Accenture Solutions Private( Client -ROCHE)
01.2022 - Current
- Designed and implemented cloud-native pipelines for the ingestion and processing of clinical trial datasets, ensuring compliance with regulatory requirements.
- Automated audit trail and metadata management using Python and AWS Glue, enabling improved traceability across study lifecycles.
- Led the integration of Coral Reef APIs with Audit Trail Metadata, Lynx, and GraphDB.
- Architected and delivered Lighthouse solutions for metadata visualization, reporting, and provenance.
- Implemented user onboarding automation into OCEAN using AWS IAM, and Python.
- Delivered data ingestion enhancements (error handling, timestamps, record count, direct ingestion from DISTILL).
- Maintained up-to-date knowledge on emerging trends in cloud computing technologies relevant to the field of AWS Solutions Architecture by attending conferences, workshops, or webinars regularly.
- Reduced operational costs with the migration of legacy systems to AWS.
- Ensured high availability of applications, implementing effective backup and disaster recovery strategies.
- Championed a culture of continuous improvement within the organization by sharing lessons learned from previous projects and encouraging team members to contribute their own insights and experiences.
- Worked with customers or prospective customers to develop integrated solutions and lead detailed architectural dialogues to facilitate delivery of comprehensive solution.
- Developed proof-of-concept implementations showcasing the benefits of adopting specific AWS services or architectural patterns before full-scale adoption within an organization''s infrastructure landscape.
Azure Cloud / AI Solutions Architect
Novartis (Client)
01.2018 - 01.2022
- Worked on the AI-based doAcc project, leveraging Azure cloud services to support large-scale data processing and advanced analytics for clinical research.
- Designed and implemented Cosmos DB solutions for handling high-throughput, globally distributed clinical trial datasets.
- Integrated AI/ML pipelines with Azure Machine Learning and Databricks for predictive analytics and real-time insights.
- Developed and optimized data ingestion frameworks from multiple trial systems into Cosmos DB, ensuring high availability, scalability, and low-latency access.
- Implemented governance, security, and compliance frameworks aligned with pharma regulatory standards (GxP, GDPR).
- Automated deployment and monitoring using Azure DevOps pipelines and Infrastructure-as-Code templates.
- Partnered with business and data science teams to enable AI-driven decision-making for trial operations and patient safety monitoring.
- Enabled 30% faster query performance on clinical datasets with optimized Cosmos DB partitioning strategies.
- Reduced data pipeline runtime by 40% using Azure Functions.
- Recognized by client leadership for AI-driven enhancements that improved clinical trial efficiency and compliance reporting.
- Improved solution efficiency by designing and implementing scalable architectures for enterprise clients.
- Conducted research to evaluate systems design and process efficiency.
AWS Cloud Analyst
Pfizer
01.2014 - 01.2018
- Delivered AWS migration and modernization programs for global pharma and healthcare clients.
- Developed Python-based ETL frameworks for large-scale pharma datasets, with compliance checks.
- Implemented CI/CD pipelines with Jenkins and GitHub Actions.
- Architected and implemented AWS infrastructure solutions for containerized big data applications, enabling scalable, high-performance analytics for Pfizer's R&D workloads.
- Designed ECS/EKS-based containerization frameworks to modernize legacy big data platforms, ensuring elasticity, and cost efficiency.
- Built a data lake architecture using S3, Glue, and EMR to manage large volumes of clinical and research data.
- Integrated containerized Spark clusters with AWS EMR for distributed processing of terabyte-scale datasets.
- Implemented CI/CD pipelines using Jenkins and GitHub Actions for container image build, test, and deployment.
- Applied AWS security best practices (IAM roles, KMS encryption, VPC isolation) to meet pharma compliance (GxP, HIPAA, GDPR).
- Partnered with Pfizer’s data science teams to enable real-time insights for drug development and trial optimization.
- Designed audit-ready systems aligned with FDA and GxP compliance requirements.
- Led cost optimization initiatives, saving approximately 20% in infrastructure costs.
- Established strong working relationships with key stakeholders, facilitating smooth communication channels and increased project success rates.
- Implemented automated backup procedures across multiple client accounts, safeguarding critical data against loss or corruption incidents.
- Helped businesses maximize ROI by analyzing their current IT infrastructure and recommending migration strategies based on potential benefits derived from moving certain workloads into the cloud environment.
- Oversaw document development across project workstreams to create internal control statements per compliance and regulatory standards.
Senior Software Engineer (Cisco DNAC Disaster Recovery Project)
HCL Technologies
02.2012 - 11.2013
- Designed clusters with local and distributed storage using Python clients (Consul, ETCD).
- Performed automated disaster recovery for failover, with regular cluster health checks.
- Optimized Consul and ETCD I/O performance using transactions.
- Developed security features for Consul with Gossip Traffic, and HTTP retry/timeout mechanisms.
- Created REST APIs, reusable modules, and automated deployments.
- Worked with Docker containers, patching, and committing updates into builds.
- Played a key role in SIT defect resolution and Go-Live stabilization.
- Re-engineered long-running processes for efficiency.
- Enhanced software functionality by identifying and resolving complex technical issues.
- Mentored junior developers, fostering professional growth and enhancing team productivity.
Software Engineer
Interface Software
01.2009 - 01.2012
- Developed automation scripts in Python and Shell for monitoring and job scheduling.
- Supported enterprise applications and databases in both cloud and on-premises environments.
- Worked on Oracle and Python integrations for reporting and data-driven applications.
- Developed scalable and maintainable code, ensuring long-term stability of the software.
- Integrated new technologies into existing systems, increasing capabilities and improving overall performance.
- Implemented effective debugging strategies, resulting in fewer software defects and increased reliability.
- Rapidly prototyped new data processing capabilities to confirm integration feasibility into existing systems.
- Documented software development methodologies in technical manuals to be used by IT personnel in future projects.
- Reduced system downtime and improved reliability by proactively identifying and addressing potential system vulnerabilities.
- Optimized resource utilization by implementing efficient algorithms, contributing to more sustainable and cost-effective operations.
Education
Master in Computer Application - Computer Engineering
Biju Pattanaik University of Technology
Odisha01.2009
B.Sc. - Computer Science
Utkal University
Odisha01.2006
Skills
AWS Cloud: EC2, S3, RDS,VPC, Redshift, Lambda, Glue, ECS
Certification
AWS Certified Solutions Architect – Professional
Timeline
Senior AWS Solution Architect / FinOps Lead
Accenture Solutions Private( Client -ROCHE)
01.2022 - Current
Azure Cloud / AI Solutions Architect
Novartis (Client)
01.2018 - 01.2022
AWS Cloud Analyst
Pfizer
01.2014 - 01.2018
Senior Software Engineer (Cisco DNAC Disaster Recovery Project)
HCL Technologies
02.2012 - 11.2013
Software Engineer
Interface Software
01.2009 - 01.2012
Master in Computer Application - Computer Engineering
Biju Pattanaik University of Technology
B.Sc. - Computer Science
Utkal University
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