Big Data Analytics Cover Letter

I would like to submit my application for the big data analytics opening. Please accept this letter and the attached resume.

In the previous role, I was responsible for engineering solution and framework to support the security and access in different environments and data-driven business activities at large scale.

Please consider my experience and qualifications for this position:

• Clear understanding of technology concepts such as Cloud, PaaS/IaaS, IoT, Machine Learning, AI all of which are closely related with Big Data and Analytics
• Investigating, analysing and identifying new areas of interest within the huge data stores on the Big Data warehouses
• Technically coordinating a small matrix team (4-8 people) to deliver innovative solutions and generate exciting ideas
• Senior Customer interaction, exciting the customer with new ideas/approaches and delivering solutions back to the customer and stakeholders
• Conducting peer reviews within BT or with suppliers, and challenging the quality of development and use of software engineering practice
• Data Visualisation/Analytics tools such as OBI, Oracle DV, Tableau, R, Shiny, DataMeer
• A good understanding of Big Data technology
• Innovative and self-starting approach

I submit this application to express my sincere interest in the big data analytics position.

In the previous role, I was responsible for analytics and enhances existing software tools development for key constituents (e.g., merchandising, finance, planning, programming, sales & service, operations & fulfillment, digital, etc.).

I reviewed the requirements of the job opening and I believe my candidacy is an excellent fit for this position. Some of the key requirements that I have extensive experience with include:

• Experience and deep understanding of scalable distributed systems such as Kafka, Zookeeper and Hadoop
• A strong foundation in Computer Science fundamentals with deep knowledge of data structures, algorithms and object oriented design and development paradigms
• Design, implement and operate the data pipelines that collect and aggregate performance data generated by our media delivery pipeline
• Develop/build software systems that enable analysis of real-time and historical data to surface insights about our pipeline's performance, including considerations of cost and audience experience
• Develop/build tools that allow for visualisation of insights and trends for executive, engineering and operational stakeholders
• Extensive practical experience of collecting, cleaning, enriching and querying large data sets using tools such as Hive and Spark
• Has implemented high performance and/or high throughput software systems in Java and/or Python
• Has a strong command of SQL

Please consider me for the big data analytics opportunity. I am including my resume that lists my qualifications and experience.

In my previous role, I was responsible for support for Hadoop daily operations to ensure the delivery of timely, accurate and reliable data to business users.

Please consider my qualifications and experience:

• Leading pre-sales activities, assessments, and the delivery of predictive analytics solutions
• Establish compelling points of view about how big data on premise and on cloud can be used to transform customer engagement and/or various aspects of business operations within companies in our target industries
• Hands-on development of deliverables utilizing emerging open source big data framework, tools and on cloud platforms
• Assisting in the growth and development of the Big Data practice providing hands-on leadership and direction, contributing to the growth of intellectual capital and supporting the development of other consultants through mentoring and/or coaching activities
• Providing functional Subject Matter Expertise in Big Data, Hadoop, and related platforms and technologies
• Experience in selling and delivering complex consulting Big Data Analytics projects for Tier 1 consulting firms
• Strong expertise in at least one Visualization tool preferably Tableau and/or Quicksight, PowerBI, Sisense, Birst, QlikView, Looker
• Exposure to web site designing or web application development is desirable

I submit this application to express my sincere interest in the big data analytics position.

In my previous role, I was responsible for leadership during application design and development for highly complex or critical machine learning projects across numerous lines of business and shared technology.

My experience is an excellent fit for the list of requirements in this job:

• Expertise implementing, unit testing, debugging and integrating code of moderate complexity
• Experience independently publishing papers, blogs, and creating and presenting briefings to technical audiences
• Approaches problems with curiosity and open-mindedness
• Self-starter enthusiastic for a broad spectrum of challenges
• Experience working with others in fast-paced, cross-functional software development environments
• Experience building networked applications
• Developing software libraries OR APIs for use by other developers in other teams or organizations
• Strong experience with Java concurrency, NIO, Netty, designing and implementing RESTful APIs

I am excited to be applying for the position of big data analytics. Please accept this letter and the attached resume as my interest in this position.

In my previous role, I was responsible for hadoop Delivery Support team with a Subject Matter Expert, giving in depth technical assistance whilst forming a learning environment.

My experience is an excellent fit for the list of requirements in this job:

• Deep familiarity with AWS infrastructure including Kinesis, Lambda, Elastic MapReduce, CloudWatch and S3
• Bachelor or Master Student in International Business Management, Business Information management, Business Administration
• Proven interest or competency in Big Data innovations
• Large, complex data analytics, analysis and optimization
• Manipulation of distributed data products across a variety of storage methods
• High quality data visualization of analysis results for presentation
• Experience and understanding of optical sensing concepts and performance figures of merit
• Machine vision, Machine-learning, Neural-network sensor driven tensor flow