Nikita Mishra

Transitioned into the dynamic realm of DevOps, started devops experience by developing and maintenance of a datalake built on societe generale private cloud consisting of multiple variety of components/layers of different technologies (Kafka, ELK, Nifi, Druid, API etc).

• Led the implementation of DevOps practices on a private cloud infrastructure, focusing on automation, scalability, and reliability.
• Designed and deployed CI/CD pipelines tailored to the private cloud environment using tools like Jenkins, reducing deployment time by 40%.
• Automated infrastructure provisioning and configuration management using Terraform and Ansible, ensuring consistency and repeatability across environments.
• Implemented monitoring and logging solutions with tools such as Prometheus, Grafana, and ELK Stack, providing real-time insights into system performance and health.
• Good experience in real time analytical database- Apaache Druid to handle huge volume of metrics from users and queryable in realtime.
• Collaborated with cross-functional teams to define infrastructure as code (IaC) best practices and standardize deployment processes across projects.
• Conducted regular performance tuning and optimization of cloud resources, maximizing cost-efficiency and performance of infrastructure components.
• Provided technical guidance and mentorship to team members on DevOps principles, tools, and best practices related to private cloud environments.

Here I worked as Team Lead Data Engineer in a Hadoop transformation project for client Applied materials, which aimed to modernize our traditional infrastructure by leveraging Hadoop and big data technologies-Apache Spark framework.

• I managed 14 team members in the project responsible for pivotal tasks in the project's success including ETL processes.
• Skillset involded Hadoop, apache nifi, kafka, HDFS. Apache kudu, MySQL, Redwood, Hue, Python etc.
• My responsibilities as a team lead also involved Project leadership, Team management,team guidance, project planning, stakeholder communications etc by following Agile methodology.
• Developed a data lake architecture that allowed for efficient storage and retrieval of large datasets
• Automated data ingestion processes to reduce manual effort by 60%
• Created a dashboard to visually represent key metrics and monitor system health
• Developed a data warehouse to store and query historical data

As an Application Development Analyst at Accenture Solutions Pvt Ltd, I played a vital role in building the data infrastructure,ensuring data quality and enabling the analytical components necessary for effective revenue assurance and leakage prevention.I collaborated with cross-functional teams to gather requirements, design solutions, and deliver high-quality software products.

Key Accomplishments:

• Developed and maintained a comprehensive revenue assurance system( for US based telecom client - AT & T) to identify and prevent revenue leakage to ensure financial stability.
• Project phases include planning, data collection, integration, data analysis, monitoring, process optimisation & visualization.
• Collaborated with cross-functional teams to gather and analyze requirements, and design optimal solutions.
• Participated in the entire software development lifecycle, from requirements gathering to coding, testing, debugging, and deployment.
• Skill sets & languages involved - Hadoop, Big data, Map Reduce, Hive, HDFS, Sqoop, Yarn, Oozie, Hue, Ambari, Python, SQL, Shell, ELK stack etc.