Elastic Search Engineer

Location:

Houston, TX

Posted:

June 19, 2025

Contact this candidate

Resume:

Anudeep Setty

ELK and Devops Engineer

Address: Houston, TX 77058

Phone: +1-346-***-****

E-mail: **********@*****.***

oSeasoned Elasticsearch Architect and Devops Engineer with extensive experience in designing, deploying, and optimizing large-scale Elasticsearch clusters across various industries.

oExpert in leading complex migrations, including upgrades from Elasticsearch 6.x to 7.x and 7.x to 8.x, ensuring seamless transitions and minimal downtime.

oProficient in architecting high-performance, scalable search and analytics solutions, with a strong focus on cluster health, data integrity, and security. Skilled in commissioning and decommissioning servers within the Elastic Stack, optimizing resource allocation, and automating infrastructure processes to enhance operational efficiency.

oSkilled in Elastic API integration, SQL query optimization, and CI/CD pipeline implementation. Adept with buffering tools such as Kafka and Redis, and experienced with Amazon Elasticsearch, Elastic Cloud.

oAdept at diagnosing and resolving shard issues, implementing cross-cluster replication, and ensuring data security through role-based access control.

oPassionate about enhancing data retrieval, analysis, and application performance, with a commitment to delivering high-quality solutions in fast-paced environments.

oProficient in creating end-to-end observability solutions, ensuring comprehensive monitoring and analysis capabilities. Adept at deploying containerized applications using Docker and Kubernetes, with a solid understanding of cloud-based infrastructure, particularly in Azure.

oSkilled in utilizing various logging and monitoring tools to maintain system performance and reliability.

oExcellent problem-solving skills with a commitment to continuous learning and improvement.

o Proficient in version control tools such as GIT, managing source code efficiently and facilitating collaborative development efforts.

oExtensive experience in setting up and managing ELK stack, including index lifecycle management, backup procedures, and creating comprehensive dashboards.

oSkilled in using Docker and Kubernetes for containerized deployments, ensuring efficient application management.

Education

2012-07 -

2016-07

Bachelor of Engineering: Electrical, Electronics Engineering Technologies

K L University - Guntur

Certifications

2024-03 Certified Terraform Associate, Hashicorp - Mar 2026

TECHNICAL SKILLS

Version Control

Git, GitHub, Azure Repos

CI/CD

Jenkins, Azure DevOps (Pipelines, Repos, Artifacts), AWS Code Pipeline

Scripting Languages

Bash, PowerShell, Python.

Infrastructure as Code (IaC)

Terraform, Ansible, Puppet.

API Management

Kong Gateway, AWS API Gateway.

Programming Languages

Java, Python.

Database

SQL Server, Postgres SQL, Redis.

Monitoring Tools

Elasticsearch, Prometheus, Grafana, Splunk, Azure Monitor, Log Analytics, Application Insights.

Container Orchestration

Kubernetes, AKS, EKS.

Other/Support Tools

GCP, Elasticsearch Unix, Open Telemetry, Open Project, Open RPA, Jira, Confluence, Kafka, Helm charts, Lens, IIS, SUSE, RHEL, HL7, Postman.

Networking

NLB, DNS, Subnets, Firewalls, SSL, TCP, Certificates.

PROJECTS

2024-09 -

Current

HCL Tech T-Mobile

Senior DevOps and ELK Engineer, Overland Parkway, Kansas

•Designed and developed data integration modules to extract, transform, and load (ETL) data from multiple sources using Elastic technologies including Logstash and Beats.

•Created and implemented custom data pipelines to ingest data into Elastic using tools such as Logstash or custom scripts, ensuring efficient and reliable data flow.

•Designed, defined, and modified ingest pipelines, ensuring accurate data mapping and utilization of custom analyzers for optimized data processing.

•Designed and developed data integration modules to extract, transform, and load (ETL) data from multiple sources using Elastic technologies, including Logstash and Beats.

•Demonstrated thorough understanding of JSON and XML, leveraging these formats to structure and manipulate data within Elasticsearch effectively.

•Developed automation scripts in Python to streamline repetitive tasks, improve operational efficiency, and reduce manual intervention in system administration and DevOps workflows.

•Implemented and managed infrastructure as code using Ansible, automating configuration management, application deployment, and orchestration, leading to more consistent and scalable environments.

•Deployed and maintained Puppet configurations to manage server states, enforce desired configurations, and automate system updates, resulting in reduced configuration drift and improved compliance.

•Designed, documented, built, secured, and maintained ELK Stack solutions specifically for healthcare applications, ensuring compliance with industry standards and regulations.

•Experienced in using Postman to test REST APIs and understand HTTP request flow for troubleshooting and integration.

•Integrated Elastic APIs to streamline data flow and enhance system functionality.

•Executed complex SQL and PostgreSQL database queries for data extraction and reporting.

•Implemented and optimized logging solutions for applications running on Azure Kubernetes Service (AKS), integrating logs into the ELK Stack for centralized monitoring and analysis.

•Conducted relevancy tuning and performance management to ensure optimal retrieval and search results, improving user experience and search accuracy.

•Utilized Python for automation scripts and data processing tasks, improving efficiency and accuracy in search platform operations.

•Applied experience in both lexical and semantic search methodologies to enhance search relevancy and user satisfaction.

•Secured ELK Stack solutions using TLS, certificates, AD authentication, and encryption technologies to protect sensitive healthcare data.

•Managed data lifecycle for healthcare logs, tested data flows, troubleshooted issues, and monitored solution health to maximize performance and minimize downtime.

•Set up and maintained the ELK Stack (Elasticsearch, Logstash, Kibana) to process and analyze data from multiple data sources, providing real-time insights and visualizations.

•Proficient in managing logs from Azure Kubernetes Service (AKS) and integrating them into the ELK Stack for comprehensive monitoring and analysis.

•Knowledgeable in hot/warm/cold data/index lifecycle management implementations.

•Collected Logs, Metrics, APM data, and User Experience data from Application Micro Services, enabling thorough monitoring and analysis of system behavior and performance.

•Implemented metrics, bucket, sub-aggregations, and pipeline aggregations to extract valuable insights from large datasets.

•Developed and maintained complex aggregation queries to support business intelligence and reporting needs.

•Diagnosed and repaired shard issues to maintain cluster health and performance.

•Implemented index lifecycle management (ILM) using hot-warm-cold-frozen architecture, automating data streams management to optimize costs and improve data accessibility.

Environment: Azure VM, AKS, Elastic Cloud, CDK, MSSQL, PostgreSQL, PowerShell, Elastic Search,

Ops works, shell scripts, GIT, Docker, Jenkins, Node Red, Ansible, Prometheus, Grafana, Open telemetry, Go, Kubernetes, Windows, and Linux environment, HIPAA Complaint.

2022-07 -

2024-08

Encore Health Group, HC INTELLECT, Milwaukee, WI

DevOps and elastic Engineer, Milwaukee, WI

•Skilled in Elasticsearch management, reindexing and data mappings, JSON and KQL searching syntax, and Kibana dashboard options.

•Basic knowledge of version control using GitHub for code management and collaboration.

•Over 6 years of experience with Elasticsearch stack (Elasticsearch, Logstash, Beats, Kibana) in production environments.

•Led migration of Elasticsearch clusters from one platform to another, ensuring minimal downtime and data integrity for healthcare applications.

•Created and managed indices in Elasticsearch, ensuring efficient data storage and retrieval.

•Proficient in using Elasticsearch Query DSL to write term-level, full-text, and compound search queries.

•Defined custom analysers and multi-fields to enhance search precision and performance.

•Reindexed and updated documents to maintain data consistency and relevance.

•Established backup procedures for data streams and managed searchable snapshots to ensure data integrity and availability.

•Utilized Kibana to develop preconfigured and editable dashboards, consolidating data from diverse sources and providing a unified view of observability data.

•Conducted asynchronous search queries and managed cross-cluster search functionalities.

•Set up cross-cluster replication to enhance data redundancy and availability across multiple clusters.

•Implemented data snapshotting, searchable snapshots, and data restoration strategies to ensure data availability and disaster recovery.

•Explicitly and dynamically mapped fields to ensure accurate data indexing and retrieval.

•Led hands-on sessions to optimize search performance, ensuring high availability and low latency in data retrieval.

•Developed, configured, and maintained monitoring solutions using Prometheus, leveraging in-depth knowledge of Prometheus metrics, alerts, and query language.

•Implemented Prometheus monitoring to track system health, performance metrics, and service availability, ensuring proactive issue identification and resolution.

•Customized and extended Grafana functionalities to meet project requirements, enhancing data visualization capabilities and user experience.

•Created and managed ingest pipelines to process and transform data during ingestion.

•Handled nested arrays of objects to manage complex data structures efficiently.

•Utilized the Data Visualizer to upload and manage data efficiently in Elasticsearch.

•Established and managed Index Lifecycle Management (ILM) policies to automate index

management tasks.

•Streamlined data ingestion and management by creating data streams in Elasticsearch.

•Installed Kafka on AKS, ensuring reliable and scalable message processing capabilities.

•Configured AKS Pod/Service DNS for seamless communication between Kubernetes services and external DNS.

•Optimized AKS Pod Limit/Request settings, balancing resource utilization for improved performance.

•Designed, developed, and deployed Azure infrastructure resources using Terraform, including virtual machines, storage accounts, virtual networks, and Azure Active Directory resources.

•Leveraged Terraform modules to standardize resource provisioning and ensure consistency across multiple Azure environments.

Environment: Azure Data Storage, VM, Azure Volumes, AKS, Elastic Load balancer (ELB), Auto Scaling groups, Terraform, Cloud Watch, MSSQL, PostgreSQL, PowerShell, Elasticsearch, Ops works, shell scripts, GIT, Docker, Jenkins, Node Red, Ansible, Prometheus, Grafana, Open telemetry, Go, Kubernetes, Windows, and Linux environment.

2019-08 -

2022-06

Agshealth, Chennai, India

Devops and ELK Engineer, Chennai, India

•Proficient in managing logs from Azure Kubernetes Service (AKS) and EKS and integrating them into the ELK Stack for comprehensive monitoring and analysis.

•Successfully implemented AKS Deployment Strategy, ensuring efficient deployment of applications on Azure Kubernetes Service.

•Served as a trusted advisor, providing expertise, guidance, and best practice recommendations for ELK Stack solutions in healthcare.

•Implemented Terraform state management strategies to maintain the state of Azure infrastructure deployments, ensuring consistency and facilitating infrastructure updates and modifications.

•Managed Terraform configurations in version control systems like Git, enabling collaboration, code review, and change tracking.

•Designed proactive preventive maintenance schedules to prevent unnecessary downtime and hardware faults.

•Built powerful search queries using KQL, enabling the creation of advanced and insightful dashboards.

•Configured Elasticsearch dashboards to track and analyze errors and anomalies.

•Installed ELK (Elastic Search, Logstash, Kibana) to analyze IIS Logs and created dashboards in Kibana.

•Implemented Query Store to know missing indexes and created indexes for tables to improve performance.

•Defined and implemented index templates to standardize the structure of indices across the organization.

Environment: Azure Data Storage, VM, Azure Volumes, AKS, Elastic Load balancer (ELB), Auto Scaling groups, AWS, EC2, IAM, Cloud Watch, MSSQL, PowerShell, Ops works, shell scripts, GIT, Prometheus, Grafana, Windows, and Linux environment.

2016-07 -

2019-07

Ramco Systems, Chennai, India

System And Database Administrator, Chennai, India

•Designed proactive preventive maintenance schedules to prevent unnecessary downtime and hardware faults.

•Installed important security and functionality patches to maintain optimal protections against intrusion and system reliability.

•Established network specifications and analyzed workflow, access, information and security requirements.

•Oversaw file system and storage upgrades while safeguarding data integrity and redundancy.

•Produced high-standard database solutions to meet stability, reliability and performance metrics.

•Created optimal technical solutions to user needs with in-depth system analysis.

•Maintained complex T-SQL queries, views and stored procedures in multi-database environment with little supervision.

•Developed custom database objects, stored procedures and delivered application support.

•Designed and implemented TSQL queries for reporting and complex solution development.

•Followed standard practices for migrating changes to test and production environments.

•Managed workload independently but collaborated with colleagues to complete larger scale tasks in distributed team environment.

•Analyzed business reports for prompt communication, follow-up and ongoing support.

•Supported projects enabling delivery efficiencies and technical resolution.

•Implemented system enhancements to design and develop solutions to address problem reports.

•Documented analysis results and provided performance improvement feedback.

•Administered, supported, and monitored databases by proactively resolving database issues and maintaining servers.

Contact this candidate