Lead Data Engineers are accountable for the development of high performance, distributed computing jobs using Big Data systems like Hadoop, NoSQL, text mining, and other distributed environment systems based on the demands and requirements of the company. As a Lead Data Engineer, your primary duties and responsibilities include helping in the definition of app architecture to ensure that the online organization software solution is developed in a stable framework. You will also take part in making decisions associated to software architecture solution selection. It is also your job to implement architecture to tackle web-scale data as well as its organization. You will execute methods, which inform data design as well as architecture partnering with business-standard.

There are specific requirements to qualify as a Lead Data Engineer, such as five years of experience in making software apps, which include design, analysis, coding, deploying, testing, and supporting programs and apps. You should hold a degree in Computer Science and have knowledge of applied mathematics, statistics, physics, or area of study associated with data sciences. Create your Lead Data Engineer Resume by clicking on ''Use this Resume'' button.

How to Write an Effective Lead Data Engineer Resume?

To enhance the chance of becoming a Lead Data Engineer, you must come up with the best and effective resume, such as:

Summary
The summary must sum up your skills, achievements, and work history. Know your abilities, which are ideal for this job. Ensure to put in some achievements for the past roles to round out the summary. Make it short but informative.

Skills
In this section, you need to use keywords from the work description for the role, which highlight your talents like an expert in developing as well as maintaining datasets, an expert in improving the efficiency and quality of the data, etc.

Work Background
In this part of your resume, you need to concentrate on your previous accomplishments like handle well escalations as well as easy to deal with partners and users. You have to focus on things that can deliver a constructive effect on the business.

Education
List any degrees as well as training that you have. Degree in Computer Science, Physics, Applied Mathematics, Statistics, or any field of study associated with data sciences as well as data mining or relevant experience must be highlighted to come up with the best and desirable resume. 

Summary

IT experience in software Analysis, Design, Development, Testing, Implementation and production Support of various Client/Server and Web based applications. Has strong hands - on experience in Big Data, Hive, Pig, Kubernetes and ETL tool Informatica power center, Informatica cloud using salesforce for customer data and data modeling, data warehousing, Inman. Well versed in reliability theory with hands on experience in performing reliability engineering for complex systems.

Professional Experience

Plano, TX
Apr, 2011 Present
Lead Data Engineer
  • Improved and enhanced the value provided by Gogo’s Hadoop cluster in conjunction with the Hadoop Architect through the application of Apache Spark.
  • Mastered emerging technologies and participated heavily in efforts to migrate Gogo’s Big Data cluster from a self-hosted environment to AWS. 
  • Acquired  great understanding of cloud services and related ETL integration technologies i.e. Informatica ad Talend.
PAYFORMANCE SOLUTIONS
Apr, 2006 Aug, 2007
Lead Data Engineer
  • Drove user ideation analysis and elaboration, design and development of software applications. 
  • Built a next-generation Big Data analytics framework with a set of core technologies code.
  • Tested and documented new or modified data systems to create robust and scalable applications for data analytics.

Quote

favourite quote

Always keep your eyes open. Keep watching. Because whatever you see can inspire you.

~Grace Coddington

Achievements

2012
Volunteer
Built a prediction and alert system in R for the non-profit Government Foundation to improve their Public Grievance Redressal System.
2015
Summer Research
Improved an accuracy of an image classification algorithm to detect and identify leaf species using a repository of leaf images.

Key Skills

Leading An Organization
Mentoring & Coaching
Strong Database Logic
Building Software
Scaling Techniques
Creating A High Performance Culture

Languages

English
(Native)
German
(Fluent)
Spanish
(Basic)

Education

Master's Degree In Engineering
Stanford University
Feb 2005 - Sep 2008
Bachelor of computer science
NORWICH UNIVERSITY
Jul 2002 - Nov 2003

Certifications

IBM
Certified Lead Data Engineer
Apr 2016
SAS
Certified Big Data Professional
Jul 2018

Interests

  • Rope Skipping
  • Music
  • Playing Guitar
  • Camping
  • Bungee Jumping
  • Outdoor Sports

Social Media

In 3 years

In the next 3 years I want to be a head of Data engineering department to lead multi-functional teams to deliver robust data services to government departments and private sector partners.

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