Muffaddal K

In my role as an Enterprise Elasticsearch architect, I spearheaded the architecture and hands-on engineering for an MVP project for end client, seamlessly Upgraded/integrated Elasticsearch Cloud with diverse data sources, including SAP/Jira/M365/MySQL. I designed and built robust SSO/SAML/AD/RBAC/Kibana architecture that efficiently handled data ingestion from SAP systems, MySQL/MariaDB databases, and other HR/ERP sources XML/Json conversions. Leveraging GenAI capabilities, I implemented cutting-edge search relevancy LLM models, strategies, optimizing results for enhanced user experience. Upgraded Elasticsearch environment 8.11/12/13x
My hands-on work involved generating Indexes, Queries, working with custom connectors/Logstash for external applications extraction, ensuring real-time synchronization with Microsoft Azure/OpenAI for chat Bot. The result was a cutting-edge search solution that not only met business needs but showcased the power of Elasticsearch Cloud in orchestrating a unified search experience across disparate data sources, blending architectural vision with hands-on CI/CD engineering excellence. Mentoring and working in team environment with Developers, Data engineers and vendors. Scrum methodology adoption with Jira/Confluence/Automation (Git/Python/XML/Json/Java/Conda/)

Spearheaded the architecture and hands-on engineering for an MVP project for end client.
Upgraded/integrated Elasticsearch Cloud with diverse data sources, including SAP/Jira/M365/MySQL.
Designed and built SSO/SAML/AD/RBAC/Kibana architecture.
Handled data ingestion from SAP systems, MySQL/MariaDB databases, and other HR/ERP sources.
Performed XML/Json conversions.
Implemented search relevancy LLM models and strategies.
Upgraded Elasticsearch environment 8.11/12/13x.
Generated indexes and queries.
Worked with custom connectors/Logstash for external applications extraction.
Ensured real-time synchronization with Microsoft Azure/OpenAI for chat bot.
Mentored and worked in a team environment with Developers, Data engineers and vendors.
Adopted Scrum methodology with Jira/Confluence/Automation (Git/Python/XML/Json/Java/Conda/).

Integrated IoT Vessels/Port with Azure/VMware cloud services.
Enabled centralized Elasticsearch data lake for T1 Port management globally.
Designed and implemented SSO/SAML/AD/RBAC integration solution.
Facilitated secure data migration MySQL to Azure.
Implemented enterprise search with Hybrid setup Onprem/Logstash/Elasticsearch v6/x and Elasticsearch Cloud v8/11/12.
Configured Azure DevOps/Databricks/ADF/API synchronization mechanisms.
Ensured data and application synchronization between on-premises Data Center and Azure Cloud Environment with ADF/ETL/API.
Provided API/Jira/Wiki documentation and training to IT teams.
Implemented Gen AI LEX / Vertex AI integration with Sentinel for real-time performance monitoring and PowerBI for advanced log analytics.
Maintained comprehensive documentation on Wiki.
Provided on call support for teams.

Designed cutting-edge search solutions utilizing Lucene-based technologies.
Used Elasticsearch cloud v8.11, Apache Solr, Grafana and Splunk.
Translated business needs into technical specifications.
Crafted user journey maps for intuitive designs.
Implemented near-real-time search.
Implemented Logstash batch data ingestion.
Built a robust ETL layer for data enrichment on AWS/Azure.
Integrated with diverse data sources and CMS systems.
Incorporated SIEM for advanced analytics.
Contributed to Infrastructure CI/CD, Python, Terraform, K8s/Docker, user interfaces, and client application integration.
Contributed to testing and performance optimization with Kibana.
Worked with legacy Splunk.

Designed AWS/Azure/ADF/Kafka Ingestion Clusters.
Presented the architectural vision to business partners.
Educated business partners about Ingestion Strategy.
Focused on Elasticsearch v 7.10 and Apache Solr version 8.8.
Worked with Python, Ansible/K8s, and Cloud Control Center setups.
Connected Logstash and ETL pipelines with NoSQL Hadoop, Snowflake, and Redshift.
Leveraged Databricks, Spark, Glue, and Athena to automate data feeds' ingestion and transformation from external sources.
Ensured security compliance for ETL products.
Offered Data Science solutions to users.
Addressed data quality and metadata concerns in ETL pipelines.
Automated data pipelines with CI/CD Jenkins, Terraform, and Python.
Provided documentation and mentoring.

Led the design of AWS/GCP Cloud services.
Focused on Elasticsearch v 7.10/Grafana and Apache Solr v8.8.
Optimized performance.
Implemented shard optimization for Elasticsearch.
Fine-tuned index settings.
Optimized mappings.
Prioritized query optimization in Apache Solr.
Applied caching strategies.
Adjusted memory allocation to enhance responsiveness.
Performed performance tuning in Logstash ETL pipelines around the Data Warehouse.
Used parallel processing and batch optimizations in Snowflake.
Implemented partitioning strategies in PostgreSQL.
Optimized Elastic search query plans with Kibana Monitoring.

Designed and implemented a robust Data Lake infrastructure on AWS.
Focused on Elasticsearch and Apache Solr.
Included AWS IoT hub, Informatica, and a pilot setup for the Data Lake on S3.
Integrated a GCP pilot.
Handled large-scale data ingestion into Splunk and migrating to Elasticsearch.
Optimized data pipelines for Splunk ingestion.
Configured Splunk indexers to process and index streaming data.
Fine-tuned batch processing mechanisms for historical data.
Set up CI/CD pipeline to automate the container build process.
Provided a secure environment for Kafka MSK, Kinesis, EMR, and Log pipelines.
Integrated components with AWS Glue, Athena, and Redshift/Spectrum/S3 Lake/Elasticsearch/Grafana/Kibana.
Provisioned infrastructure with Terraform and Python.
Supported large index builds in Elasticsearch and Apache Solr.
Optimized query performance for responsive search functionalities.
Orchestrated the development of a high-performance Data Warehouse.

Designed and built MDM/Cloud data lake on Hybrid Cloud services primarily on AWS IoT hub.
Integrated data on Kafka/Azure/GCP.
Developed and built hybrid Data Lake with Oil/Gas/Shipping Industry by streaming/batch/IoT data pipeline from SAP/ERP systems and AWS S3/Cloudera/Informatica/API.
Implemented Grafana/Promethus monitoring.
Integrated dashboards and alerting for Data Hub on Confluent Kafka/Redshift warehouse/SnowFlake on AWS.

Designed and built data migration to big data lake on Hybrid Cloud services on AWS/Lambda/Databricks/HWX/GCP/Azure.
Designed and built ECS HDF/CI/CD/Envelop encryption/PWBI reporting based hybrid IoT Data Hub.
Worked with streaming/batch/IoT data lake and API(Apigee) integration for Anaconda Data science Hub on Hybrid cloud services.
Developed strategies, reference architectures, roadmaps, architectural principles, technology standards, security non-functional requirements, architectural decisions and design patterns for the project.

Architected, migrated and delivered OpenBanking Apigee API based infrastructure on AWS/Azure ADF/Openshift/Nifi/Cloudera/Spark/Kafka/Big Query/AWS/Glue/Lambda/Redshift ECS-Analytics/Openshift/Kubernetes/APIgee/AWS/Splunk/Elastic/VMware/Git/Bitbucket/IBM API connect/Microservices/Cyber Encryption connect/Jira/Cassandra/Postgres.
Used Jira, Git, Ansible, Node.js, PySpark, Shell automation.
Implemented DevOps process CI/CD Jenkins.
Configured kerberization/API gateway for IAAS.

Designed, architected and built big data IoT/AI/Data lake platform upgrade and migration work on Hybrid cloud model.
Worked on premise and Hortonworks/Cloudera on IBM IoT Bluemix/IBM Streams/AWS/Azure cloud based conceptual design and ML modelling Data Lake.
Focused on SAP HANA Spark/Kafka/Nifi/Informatica, ETL, Open APIs, Node.js, Python, Ruby.
Assessed, upgraded, migrated and integrated Oracle DB/DB2 Kubernetes/KOPS/Encryption/kerberization multi tenancy site across world for their IoT based product.
Built HWX/Cloudera-Altus using CI/CD pipeline with Jenkins/Ansible/Docker/Terraform.

Designed, architected and deployed SIEM/ForgeRock framework and API based big data/IoT/Opendata multi tenancy/ML modelling-based Ingestion solution for Smartdubai.ae.
Built multi tenancy Big Data Analytic IAAS/PAAS/IoT/API AAS/DAAS as service on Openstack/Cloudfoundry/HPE Stakato/VMware/AWS/Azure Cloud Platform/Informatica, HWX, Data Lake, HDF/Nifi, APIgee/GCP/ML engine, Swagger, Postman, Microstrategy, Node.js, DR, Replication, CKAN, DynamoDB/Cassandra/Oracle 12c.
Built data science using R and Anaconda for forecasting and predictive analytics.
Built SDLC environment following DevOps/Blockchain approach.
Used Git and Docker for versioning and DC Template management.

Designed and architected an Agile Micro services API Big Data solution on Cloudera.
Used Hybrid cloud service on Cloud Foundry/PCF/VMware/AWS/GCP.
Automated continuous data ingestion solution into Hadoop/Cassandra using workflow builder/Streaming terabytes of multisource data.
Built metadata and data lakes using Streamset/Nifi in txt/Avro/Parquet format.
Developed continuous Integration pipelines.

Architected and developed AWS/Azure Cloud Infrastructure as IAAS/PAAS.
Built data lake with big data pipelines on Hadoop, Spark/Scala/Streamset/Kafka/Cloudera.
Reverse engineered data warehouse by remodelling and database replication.
Created BI/Analytics Data Lake based on Cassandra, Hbase, Redshift/DynamoDB db.
Designed and developed business KPI Dashboards based on OLAP cubes, views on Looker/Metabase/R analytics on large datasets (Machine Learning).

Designed and built AWS/Azure Cloud capability.
Migrated legacy Sensor and M2M ETL capability by building Hadoop, Pivotal, Cloudera, Spark Analytic system POC.
Identified out of the box solution for AWS IAAS such as AutoMate for free management of AWS Infrastructure.
Integrated AWS/Azure components such as CodeDeploy/Cloud Formation using JSon/Python/Ruby/PWShell/Scala scripting.
Automated AWS tasks and built data analytics pipeline from various source of datasets.

Worked on large IoT transformation project building Hybrid cloud with AWS/Azure/Cloud Foundry/PCF PAAS and Hortonworks big data IoT system capabilities.
Automated and scripted with OpsWork Chef/Puppet/Cloud Formation.
Used Python/Ruby/Json/PWShell/Scala/API to build and automate/monitor Cloud services.
Worked on SAP/CRM application integration/migration.
Integrated Robotics IoT/Microservices onto cloud.

Worked on Agile Global Data centre migration transformation project.
Designed, built and migrated HP Legacy Infrastructure, SAP and CRM applications to Hybrid Cloud Computing and Big Data Analytics system.
Used AWS/Azure IAAS, Cloud Foundry, API, VMware, CLM, and Hadoop Ecosystem.

Worked and managed Agile transformation project under G-cloud.
Managed team in building Hybrid Cloud/Big Data for Government domains nationwide rollout.
Implemented and delivered Big Data cloud automation project using various technologies based on LUW & Mac O/S.