Toolika Dixit

About Toolika Dixit

Technology leader with 10+ years of experience designing, operating, and scaling production-grade IoT and cloud platforms in healthcare and regulated enterprise environments. Proven track record of delivering highly available, mission-critical systems that require strict reliability, governance, and operational excellence.Currently serving as a Lead IoT Consultant, responsible for end-to-end ownership of large-scale production environments supporting connected medical devices. My role spans real-time data ingestion, platform monitoring, incident management, disaster recovery, and compliance-driven governance, ensuring resilient systems that meet stringent healthcare reliability standards. I have led complex cloud migration initiatives with zero-downtime transitions, consistently maintaining 99.9%+ SLA compliance for business-critical platforms.Beyond platform operations, I provide technical leadership and people management, mentoring engineering teams, guiding architectural decisions, managing critical escalations, and collaborating with product, compliance, and global stakeholders to deliver stable and scalable solutions.My expertise includes reliability engineering, incident response, root cause analysis (RCA), and operational automation, with a strong focus on building platforms where system stability and patient safety are paramount.As connected ecosystems become increasingly data-driven, my work has evolved from traditional IoT implementations toward data-centric platforms, including real-time telemetry pipelines, streaming architectures, and cloud-native data platforms. I am actively expanding my capabilities in data engineering and AI-ready infrastructure, focusing on building reliable data foundations that enable machine learning, anomaly detection, and predictive insights across healthcare and device ecosystems.In my day-to-day work, I also leverage modern AI-assisted development and productivity tools such as ChatGPT, GitHub Copilot, and Gemini to accelerate troubleshooting, automate documentation, support architectural exploration, and improve engineering productivity. These tools complement traditional engineering practices by enabling faster problem-solving, knowledge synthesis, and operational efficiency across complex cloud and IoT environments.

Experience

1. Lead Consultant Iot (Data Platforms & Cloud Engineering)

   Capgemini

   Oct 2024 — Present

   Own end-to-end production operations for enterprise IoT and healthcare platforms, with responsibility for availability, reliability, and compliance.Led large-scale cloud migration initiatives, modernizing legacy on-prem IoT systems to cloud-based platforms with zero downtime.Provide technical leadership and people management, including mentoring engineers, reviewing designs, managing on-call rotations, and handling critical escalations.Drive incident management, root cause analysis (RCA), and continuous improvement, resulting in measurable reductions in downtime and MTTR.Designed and implemented monitoring, alerting, and observability frameworks to proactively detect and resolve platform issues.Partner closely with product, compliance, and global stakeholder teams to ensure platforms meet regulatory, operational, and business requirements.Actively contributing to data platform modernization, preparing real-time and batch data pipelines to support future analytics and AI/ML use cases.

Education

• AJAY KUMAR GARG ENGINEERING COLLEGE, GHAZIABAD

  Bachelor’s Degree, Electronics and Instrumentation

  2011 — 2015

Skills

• C
• Java
• Python
• Javaserver Pages (Jsp)
• Microsoft Office
• Leadership
• Html
• Team Management
• Sql
• Maintenance & Support
• Powerpoint
• Microsoft Excel
• C++
• Toad