09/06/2022 updated
MA
100 % available
Big Data Platform/Solution Architect, Enterprise Data Architect, Director of Data
Isleworth, United Kingdom
United Kingdom
Master of Computer ApplicationsMicrosoft AccessC (Programming Language)Java (Programming Language)LTE (Telecommunication)Microsoft WindowsAmazon Web ServicesData AnalysisUnit TestingMicrosoft AzureBig DataUnixCloud ComputingDatabasesData ArchitectureExtract Transform Load (ETL)
Digital Media, Web Analytics, Databricks, Hadoop, Spark, Kafka, HBase, Hive LLAP, Machine Learning, Cloudera, Platform on cloud providers Azure, AWS, Azure Cloud services, SQL Managed Instance, MySQL, Data Factory, Key Vault, Power BI, Azure Data Lake, Blob storage, Cognitive Search, Elastic Search, Hortonworks, Platform, Flume, Sqoop, Phoenix, Nifi, Streamsets, Storm, Scala, Solr, Banana, Python, Data Architecture, Cloud, Azure, Big Data, Hortonworks/Cloudera Data Platform, IBM BigInsights, BigData, Spark Streaming, Data Science, Cloudera Data Science Workbench, Zeppelin, Data Warehouse Appliances, IBM Netezza, Amazon Redshift, Azure SQL Managed Instance, Oracle, SQL Server, DB2, Informix, MS-Access, Dashboarding, PowerBI, SAP Business Objects, OBIEE, IBM Cognos, QlikView, Data Analytics/Data Mining, SAS, FastStats, ER-Win, ER Studio, ETL, Informatica, Oracle Warehouse Builder, Ab-Initio, Integrator, IBM Ascential DataStage, UNIX, PL/SQL ETL, Database Administration, Visual C#, Visual Basic, Oracle Forms Developer, SQL, PL/SQL, C, Java, Servlets, JSP, Linux, Solaris, Windows, Microsoft Project, Analytics, Data Migration, Elastic, Isilon, HDFS, Data Warehouse, Azure Cloud, Azure Cloud technologies, LTE, Visualization, Hive, IBM, BigInsights, large data, data modelling, Master Data Management, Scrum, BigData Technologies, Omniture, data mining, Physical data models, Oracle databases, Dimensional Modeling, ERWin, Reveleus, PLSQL, SDLC, Oracle Developer 2000, Unit testing, System integration, database, Oracle Pro
Languages
EnglishFluent
Project history
End Client Business Domain: Digital Media, Advertisement Intelligence/Analytics
My Responsibilities:
* Deliver Architecture, Strategy, Roadmap and Vision for modern big data advertisement
intelligence/analytics platform to perform near real-time advertising activities including
creative classification, spend, media performance and connected competitor intelligence.
* Lead architects, data modellers and data engineers to architect and deliver the solutions
that fulfil the business requirements and align with the enterprise wide vision and strategy
* Delivery lead for multiple big data projects which include end-to-end Databricks Spark
Streaming/batch pipelines for processing terabytes of digital media data from multiple data
sources and complex ETL processes.
* Have been providing advice, guidance and direction in the programme delivery processes
* Strategy to deliver Data Migration
Result: A successful implementation of Advertisement Intelligence/Analytics Platform using Azure
services like Databricks Big Data Cluster (Spark, Spark Streaming and Delta), SQL Managed
Instance, MySQL, Event Hubs, Data Factory, Key Vault, Power BI, Azure Data Lake, Blob storage,
Cognitive Search and Elastic Search.
My Responsibilities:
* Deliver Architecture, Strategy, Roadmap and Vision for modern big data advertisement
intelligence/analytics platform to perform near real-time advertising activities including
creative classification, spend, media performance and connected competitor intelligence.
* Lead architects, data modellers and data engineers to architect and deliver the solutions
that fulfil the business requirements and align with the enterprise wide vision and strategy
* Delivery lead for multiple big data projects which include end-to-end Databricks Spark
Streaming/batch pipelines for processing terabytes of digital media data from multiple data
sources and complex ETL processes.
* Have been providing advice, guidance and direction in the programme delivery processes
* Strategy to deliver Data Migration
Result: A successful implementation of Advertisement Intelligence/Analytics Platform using Azure
services like Databricks Big Data Cluster (Spark, Spark Streaming and Delta), SQL Managed
Instance, MySQL, Event Hubs, Data Factory, Key Vault, Power BI, Azure Data Lake, Blob storage,
Cognitive Search and Elastic Search.
End Clients' Business Domains:
* Life Sciences(Bioinformatics/Genomics) and
* Banking
My Responsibilities:
* Architecture and built Big Data Cluster using Hortonworks/Cloudera Data Platform, Dell EMC
Isilon as HDFS Storage Cluster and Cloudera Data Science Workbench for self-service machine
learning.
* Designed and built end-to-end workflow pipelines for processing terabytes of genomics data.
* Designed and built end-to-end complex Data Science Machine Learning pipelines and
productionised relevant models
Result: A successful implementation of Hortonworks/Cloudera Big Data Cluster with end-to-end
workflow pipelines for processing terabytes of data and complex machine learning models.
* Life Sciences(Bioinformatics/Genomics) and
* Banking
My Responsibilities:
* Architecture and built Big Data Cluster using Hortonworks/Cloudera Data Platform, Dell EMC
Isilon as HDFS Storage Cluster and Cloudera Data Science Workbench for self-service machine
learning.
* Designed and built end-to-end workflow pipelines for processing terabytes of genomics data.
* Designed and built end-to-end complex Data Science Machine Learning pipelines and
productionised relevant models
Result: A successful implementation of Hortonworks/Cloudera Big Data Cluster with end-to-end
workflow pipelines for processing terabytes of data and complex machine learning models.
Business Domain: Media and Mobile Telecommunications
My Responsibilities:
* Deliver Architecture, Strategy, Roadmap and Vision for modern big data lake/enterprise data
warehouse architecture to deliver business solutions like Sales
Orders/Renewals/Upgrades/Downgrades, Customer Base and Churn, Network Usage, Bad debt,
Fraud, Online analytics and Customer Life Cycle Value insights.
* Responsible for deploying Big Data Cluster using Hortonworks/Cloudera Data Platform on Azure
Cloud and on Premise Data Centre.
* Hands on implementation on Azure Cloud technologies.
* Helped LTE Network teams(Radio Active Network) and Core Network to analyse the parameters
which are causing the voice performance issues and take best decisions to tune the network,
there by reducing customer churn by providing better voice quality.
* Hands on experience in designing and implementing the Real-Time Geo Visualization Dashboards
with actionable insights
* Hands on implementation using Big Data technologies like Hadoop, Hive LLAP, Flume, Sqoop,
Hbase, Phoenix, Streamsets, Kafka, Storm, Spark, Spark Streaming, Scala, Zeppelin, Solr,
Banana and Python.
* Stakeholder management
* Coaching/Guiding teams to use this Big data platform based on the architectural strategies
designed by me.
* Act as a guardian for the big data cluster and make sure all the teams in the organization
follow similar guidelines.
Result: A successful implementation of Hortonworks/Cloudera Big Data Cluster, delivered advanced
analytical insights and Geo Visualization of Sales Orders/Renewals, Churn and LTE Voice
Performance metrics.
My Responsibilities:
* Deliver Architecture, Strategy, Roadmap and Vision for modern big data lake/enterprise data
warehouse architecture to deliver business solutions like Sales
Orders/Renewals/Upgrades/Downgrades, Customer Base and Churn, Network Usage, Bad debt,
Fraud, Online analytics and Customer Life Cycle Value insights.
* Responsible for deploying Big Data Cluster using Hortonworks/Cloudera Data Platform on Azure
Cloud and on Premise Data Centre.
* Hands on implementation on Azure Cloud technologies.
* Helped LTE Network teams(Radio Active Network) and Core Network to analyse the parameters
which are causing the voice performance issues and take best decisions to tune the network,
there by reducing customer churn by providing better voice quality.
* Hands on experience in designing and implementing the Real-Time Geo Visualization Dashboards
with actionable insights
* Hands on implementation using Big Data technologies like Hadoop, Hive LLAP, Flume, Sqoop,
Hbase, Phoenix, Streamsets, Kafka, Storm, Spark, Spark Streaming, Scala, Zeppelin, Solr,
Banana and Python.
* Stakeholder management
* Coaching/Guiding teams to use this Big data platform based on the architectural strategies
designed by me.
* Act as a guardian for the big data cluster and make sure all the teams in the organization
follow similar guidelines.
Result: A successful implementation of Hortonworks/Cloudera Big Data Cluster, delivered advanced
analytical insights and Geo Visualization of Sales Orders/Renewals, Churn and LTE Voice
Performance metrics.