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Big Data Architect
F Shaikh
,
Horley, United Kingdom
Experience
Skills
I'm offering
Cloud, Big Data, Blockchain, AI and Machine Learning Engineer
Experienced data engineer with 10+ years of proven hands on project delivery track record.
Cloud Experience:
Native big data applications using both PAAS and IAAS on Microsoft Azure, AWS, Google Cloud Platform and IBM Cloud.
Automation of infrastructure provisioning Infrastructure as Code (IaC) using Azure Resource Manager, AWS CloudFormation. CI/CD Azure DevOps
- Azure Data Factory, Azure Data Lake Store, Azure Data Lake Analytics, Event Hubs, IoT Hub, Stream Analytics, HDInsight, Databricks, Azure SQL, Azure Functions, Azure Analysis Services, Power BI
- Amazon Athena, EMR, Redshift, Kinesis, QuickSight, S3, Glue
- Google Cloud Pub/Sub, Dataflow, Dataprep, BigQuery, Dataproc, ML Engine, Data Studio
Big Data:
- Cloudera, Hortonworks, MapR, hadoop ecosystem components Spark, Oozie, Hive, Hue, YARN.
- Elasticsearch, Logstash and Kibana,
- Apache Superset, QlikView, Tableau
- Zabbix, Ambari, Cloudera Manager, MapR Control System, Graphite, Grafana
- NoSQL Databases HBase, MongoDB, MaprDB, Cassandra, Neo4J, Redis
- Leveraging cutting-edge open source and enterprise technologies to accelerate successful project delivery: Apache Kafka, Confluent, StreamSets, Kylin, AtScale, Kerberos, LDAP, IBM MDM, IBM InfoSphere Information Server, DataStage, Informatica PowerCenter, Apache Airflow, Apache Parquet, Avro, ORC, Protobuf
AI and Machine Learning:
- R (sparklyr, dplyr, ggplot2) and Python (PySpark, Numpy, Pandas, Matplotlib, Scikit)
- Jupyter, Apache Zeppelin, http://********.**, DataIKU, SAS Base,
- Production deployment of machine learning models
Development and Containers:
- Backend development using Java, Python, Django, Flask
- RESTful Services, JavaScript, Nodejs
- Docker and OpenShift
- Kubernetes 'kubectl' CLI, YAML, Kubernetes Services, Persistent Storage, Helm Charts
Recent Projects:
- Real Time Processing Security Audit Logs using Apache Kafka
- Fraud Detection and Prevention Models
- Multiple client facing digital experiences using Cloud Native and Microservices
Experienced data engineer with 10+ years of proven hands on project delivery track record.
Cloud Experience:
Native big data applications using both PAAS and IAAS on Microsoft Azure, AWS, Google Cloud Platform and IBM Cloud.
Automation of infrastructure provisioning Infrastructure as Code (IaC) using Azure Resource Manager, AWS CloudFormation. CI/CD Azure DevOps
- Azure Data Factory, Azure Data Lake Store, Azure Data Lake Analytics, Event Hubs, IoT Hub, Stream Analytics, HDInsight, Databricks, Azure SQL, Azure Functions, Azure Analysis Services, Power BI
- Amazon Athena, EMR, Redshift, Kinesis, QuickSight, S3, Glue
- Google Cloud Pub/Sub, Dataflow, Dataprep, BigQuery, Dataproc, ML Engine, Data Studio
Big Data:
- Cloudera, Hortonworks, MapR, hadoop ecosystem components Spark, Oozie, Hive, Hue, YARN.
- Elasticsearch, Logstash and Kibana,
- Apache Superset, QlikView, Tableau
- Zabbix, Ambari, Cloudera Manager, MapR Control System, Graphite, Grafana
- NoSQL Databases HBase, MongoDB, MaprDB, Cassandra, Neo4J, Redis
- Leveraging cutting-edge open source and enterprise technologies to accelerate successful project delivery: Apache Kafka, Confluent, StreamSets, Kylin, AtScale, Kerberos, LDAP, IBM MDM, IBM InfoSphere Information Server, DataStage, Informatica PowerCenter, Apache Airflow, Apache Parquet, Avro, ORC, Protobuf
AI and Machine Learning:
- R (sparklyr, dplyr, ggplot2) and Python (PySpark, Numpy, Pandas, Matplotlib, Scikit)
- Jupyter, Apache Zeppelin, http://********.**, DataIKU, SAS Base,
- Production deployment of machine learning models
Development and Containers:
- Backend development using Java, Python, Django, Flask
- RESTful Services, JavaScript, Nodejs
- Docker and OpenShift
- Kubernetes 'kubectl' CLI, YAML, Kubernetes Services, Persistent Storage, Helm Charts
Recent Projects:
- Real Time Processing Security Audit Logs using Apache Kafka
- Fraud Detection and Prevention Models
- Multiple client facing digital experiences using Cloud Native and Microservices
Markets
United Kingdom
Language
English
Fluently
Ready for
Available
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