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Data Science Enthusiast possessing experience and skill set related to Big Data. Experience in collecting, managing, analyzing, and visualizing large sets of data to turn information into insights using multiple platforms. Interests include Analytics, Data Visualizations, and Machine Learning.
Overall 7 years of experience in Information Technology includes Core Java, Hadoop Big Data Echo System, Tableau and SIEBEL CRM. Fast learner with 2 years Hadoop Big Data experience while leading multiple projects from requirement gathering to successful implementation.
I am a Talend Certified Architect (in Data Integration and MDM issued by Talend Inc. – www.talend.com) and Pentaho Certified Consultant (issued by Accenture Inc. – www.accenture.com). Extensive knowledge of 5 Talend Products: DI, DQ, MDM, ESB and BIG DATA. I have thirteen years of proven track record in the fields of Business Intelligence, Data Warehousing, Data Quality, Data Integration, Master Data Management and Governance in TELCO, Energy Utilities (Electricity, Water) and Banking Industry in International environments (EMEA and North America). AWS Certified Cloud Practitioner (issued by Amazon Web Services – www. aws.amazon.com). Deep Academic Knowledge of Big Data Platforms/Tools (tool such as Talend) and Amazon Web Services (AWS) - Currently practicing and willing to work in an actual project.
I always enjoy new challenges and welcome the opportunity to further develop these skills as to benefit a company. As a Data and Solution Architect, Data Analyst, Developer and Business Analyst, with a Master’s in Computer Engineering, I have been working for, and in partnership with, the industry leaders in IT Consulting Companies and many major Clients – Accenture, NTT Data, Affinity Water, ESB Ireland, Citigroup Inc, Wind Telecommunication Spa, TIM Telecommunication Spa and TELECOM Italia Spa. I am seeking a position in your company in which I may utilize, hone further and contribute my skills and expertise which I have successfully developed to a high degree. I have excellent organizational and communication skills, an outstanding work ethic, the ability to work well in both team-oriented and self-directed environments along with the ability to follow the whole software systems development life cycle. My counterparts regard me as a high-calibre specialist with a global vision of information technology, and a broad knowledge of business models, needs and trades in a wide range of markets. At my current employer, Citigroup Inc. (American Multinational Investment bank and financial services corporation - www.citigroup.com) in Dublin, Republic of Ireland, I work for the Departments of Fund Account and Trade Processing - across several Global Projects of Trading and Multi Funds. I was born and raised in Italy but as a young child it was my dream to work abroad. I would welcome the opportunity to discuss how I could help you fulfill your corporate needs. I can be reached by: • Mobile phone at (+ 44) (0) 74-48-42-00-37, (+ 353) (0) 83-150-37-68 • Email at email@example.com • LinkedIn page at http://www.linkedin.com/in/francescodinapoli A meeting will allow me to make better you evaluate about my skills and my motivation.
• Passionate problem solver with 10 years of experience in IT Industry across various roles. • Proven track record in Business & Data Analysis and End to End IT Solution Delivery. • Design, Develop and Optimize entire Data Pipelines including Data Science algorithms in production at scale with operational reliability. • Strong data analytical skills to derive patterns and deep dive into data to deliver customer focused solutions to improve advocacy and increase revenue. • Assess organizational Data needs and architect the right approach, migrate traditional warehouse platforms to Big Data if necessary. • Design and Develop prototype solutions in-house for trial purpose and define business cases and internal automations to improve productivity and streamline process. • Stakeholder management across industry partners and various business units to deliver successful large-scale projects. more
Over 13 years of experience in the areas of Big Data, Data Warehousing Technologies and followed by Big Data Testing and Software Testing and looking for a Senior Data Engineer/Big Data Lead position Proficient IT experience in Analysis, Design, Development, Testing and Implementation of business application systems for Process, Insurance, Finance and Telecom domains Experience in Big Data Architecture, Business & Data Analysis, Data Migration, Data Integration, Data Governance, Data Visualization and Reporting Services. Gathering business requirements for both functional and technical requirements that would best suit the needs of the technical architectural development process. Experience in deploying Hadoop cluster on Public and Private Cloud Environments like Cloudera and Amazon Web Services (AWS) Development experience with Spark processing using RDDs, DataFrames and SparkSQL Hands on experience on Cloudera Manager, HDFS, YARN, Hive, Hue, Hbase, Oozie and Zookeeper Proficient in Python and Scala coding Experience working with both Structured and Un-structured data Experience in setting up Sqoop and Kafka to load source data into HDFS. Well versed in Designing ETL(Informatica/Spark) mappings, Run ETL process using Big Data tools for various transactions and loading data from various legacy and disparate data sources to Data Lake or Enterprise Data Warehouse Extensive experience in Data Warehousing Techniques, concepts & architecture, producing solutions that enable the stakeholders to make informed decision, satisfying business objectives/goals Leading globally (UK, India and USA) distributed teams in an onsite/offshore model Well-versed with Data Visualization tools like Tableau Expertise in all phases of SDLC and STLC and involved in end to end lifecycle Exposure in Software Engineering Process and familiar with various Life Cycle Models like Agile (Scrum and TDD) and Waterfall model. Familiar with CI/CD (Continuous Integration & Delivery) development practice Expertise in data analysis with strong analytical skills and problem-solving skills. Strong experience on Defect Life Cycle and expertise in Test Management and Defect Management and experience on Project Management Experience working on CRM and Client facing applications. Quick learner and excellent Team player having ability to meet tight deadlines and work under pressure Strong Leadership (Teal Lead) qualities and able to competently drive forward the project activities independently Excellent Communication and Interpersonal skills and ability to quickly adopt technical challenges more
A developer who codes for an application that uses massive quantities of data that are too big for a normal system to support. Go Big or Go Home!
What does a big data developer do?
They support the migration of data from a normal-sized system to a Big Data system. Think of them as taking smaller blocks of data from a messy cupboard, to a huge storage unit to make everything more organised and faster.
What should a big data developer know?
The most important skills for a Big Data Developer to have are; Apache Hadoop, NoSQL, Data Mining, NoSQL, Machine Learning, Programming Languages like Scala, Python and Data Visualisation. Always read the full Job Specification to ensure you have the skills and knowledge required.
Big data developer vs data scientist
Big Data Developers work with masses of varied data to enable businesses to have more scope and reach across all areas, whereas Data Scientists extract and use specifics from within Big Data to fine-tune certain areas of information to reach and interest an audience.
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