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Big Data Architect Resume Samples
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0-5 years of experience
Technical Architect of the personalization platform serving millions of customers. The platform consumes tens of billions of user based events/logs and builds the datasets required for personalization. Designed and implemented the key components of the platform to perform real time ingestion of the events from over 75 data sources both in structured and unstructured form.
- Technical Architect of click-thru analytics platform collecting usage from millions of STBs to generate click-thru rates, conversion rates, purchase rates based on catalogue/media and search terms. Implemented the backend platform to do large scale ingest, state machine based intelligent sessionization and sequencing of user actions. Also implemented the HBase client modules which do fine grained analytical reports for the team of data analysts and business
- Designed the real time analytics and ingestion platform using Storm and kafka. Hands on experience with multiple NOSQL databases including Riak, Couchbase, HBase and Cassandra.
- Led the team of engineers and coordinated the QA effort including training for prod-ops, QA and presentations to product and executive teams.
- Implemented a patent-pending high speed caching engine directly serving millions of customers 10 times faster than before. The caching engine is built to act as a reverse proxy and accelerate the responses sent to millions of devices by intelligent parsing of the JSON content over the wire at nearly 100k per second requests. Designed a high speed proprietary NoSQL engine to serve as distributed cache within map-reduce. Based on disk based B+Tree, this high speed cache can be directly embedded inside applications where reference data is needed.
0-5 years of experience
Working on the Linked Data Repository project, a Big Data platform that integrates Elsevier’s internal data with external third party data sources, everything deployed into AWS.
- Improving data processing and storage throughput by using Hadoop framework for distributed computing across a cluster of up to twenty-five nodes.
- Building customized memory indexes for high performance information retrieval using Apache Lucene and Apache Solr, as well as an optimized Graph Database with up to 10Billion edges.
- Applying machine learning algorithms in order to identify the most significant features across different datasets.
- Creating Proof of Concepts from scratch illustrating how these data integration techniques can meet specific business requirements reducing cost and time to market.
6-10 years of experience
Map data elements from As-Is models to To-Be model thru numerous fund acquisitions of fund private clients using Erwin.
- Analyze data and industry models as needs require using CA Erwin data modeling tool. Vertical/Horizontal Database Scaling.
- Maintain enterprise data model using CA Erwin on the Windows XP Pro and Windows 7 Pro platform with Office Pro 2010.
- Using Big Data, design and build portfolio of event-driven and long-short trading algorithms to exploit various cycle and seasonal trading opportunities using TradeStation. Holding periods vary from several days to weeks or months up to 6-months
- Design and build a stand-alone risk management algorithm to manage trade risk thru support/resistance-based trailing stop.
0-5 years of experience
Developed [company name] product to help revolutionize the NPI (New Product Introduction) and PLM (Project Lifecycle Management) for an enterprise.
- Used Agile methodology to iterate fast through three versions of the Product Concept with multiple clients, zooming on niche problem area
- Managed and lead the development effort with the help of a diverse internal and overseas group.
- Developed a POC (proof of concept) product using Big Data Analytics, Hadoop for mapreduce and Amazon Cloud Computing platform and Microsoft Azure, Asp.Net with Jquery & Ajax, Bing maps, Json files to speed up data display, Windows Server platform, SQL Server, SQL scripts, and Python for data manipulation.
6-10 years of experience
- Led ideation and incubated new offerings/products – create ground-breaking cloud service lines & Hadoop/HBase solutions.
- Acted as a practice facilitator and hands-on leader to define capability vision, roadmap, and core technology directions in innovative technology space – end-to-end enablement and acceleration from new business development to solution execution.
- Directed consulting delivery to large-size clients – MM$ engagements in Fortune 100 companies & government agencies.
- Cloudified complex healthcare systems with SOA to align with business strategy – maturity-driven systematic migration.
- Advised CXO of big firms on disruptive solutions of next-generation technologies for Enterprise 2.0 – pragmatic strategy.
- Baselined the SOA execution for a major insurance firm – Phased transformation and IT modernization to service portfolio.
- Introduced cloud database and integration as a service to a big hotel chain – initiate hybrid use and enforce interoperability.
- Defined enterprise architecture roadmap to realign IT with rating business strategy – balance strategic vision with tactics.
- Productized cloud and big data services and solutions – spur and promote incremental adoption of new technologies.
- Speaker in CloudSlam, CamelOne, CodeCamp 2012 and panel chair at IEEE Cloud Conference 2012 – thought leadership.
0-5 years of experience
Developed [company name] product to help revolutionize the NPI (New Product Introduction) and PLM (Project Lifecycle Management) for an enterprise.
- Used Agile methodology to iterate fast through three versions of the Product Concept with multiple clients, zooming on niche problem area
- Managed and lead the development effort with the help of a diverse internal and overseas group.
- Developed a POC (proof of concept) product using Big Data Analytics, Hadoop for mapreduce and Amazon Cloud Computing platform and Microsoft Azure, Asp.Net with Jquery & Ajax, Bing maps, Json files to speed up data display, Windows Server platform, SQL Server, SQL scripts, and Python for data manipulation and Machine Learning algorithms.
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Last edited by: Gabriela Barcenas, CPRW, Content Writer II -
Gabriela Barcenas
CPRW, Content Writer IIGabriela is a Certified Professional Resume Writer (CPRW) and career adviser. With 10 years of digital media experience and five years of resume writing expertise, her publication history includes fashion, education, travel, social justice, equitable design and career advice.
