• 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.• 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.

• 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

Designed proactive preventive maintenance schedules to prevent unnecessarydowntime 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 multidatabaseenvironment with little supervision.Developed custom database objects, stored procedures and deliveredapplication support.Designed and implemented TSQL queries for reporting and complex solutiondevelopment.Followed standard practices for migrating changes to test and productionenvironments.Managed workload independently but collaborated with colleagues tocomplete larger scale tasks in distributed team environment.Analyzed business reports for prompt communication, follow-up and ongoingsupport.Supported projects enabling delivery efficiencies and technical resolution.Implemented system enhancements to design and develop solutions to addressproblem reports.Documented analysis results and provided performance improvementfeedback.Administered, supported, and monitored databases by proactively resolvingdatabase issues and maintaining servers.