Data Engineer at HelloFresh Resume Sample

Hired by: HelloFresh

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Data Engineer at HelloFresh Resume Sample (Full Text Version)

Patric Nehera

Nationality: American

Email address: hello@kickresume.com

Phone number: 555-555-555

Web: www.kickresume.com

Profile

Highly accomplished Software Developer with more than five years of expertise in the creation of optimal and innovative solutions. Recognized for exceptional skills in ideation, leadership, and design.

Education

06/2014 - 05/2018, B. Tech, Computer Science, National Institute of Science and Technology, Brahmapur, Odhisha, India

02/2010 - 04/2013, ICSE & ISC, Computer Science, Church School Beldih, Jamshedpur, Jharkhand, India

Work Experience

09/2022 - present, SDE II, Groupon, Bengaluru, Karnataka, India

Led the re-architecture of the existing data pipeline, implementing incremental processing and conducting in-depth analysis to identify and remove redundant business attributes.
Implemented an Object Lifecycle Management (OLM) policy for Google Cloud Platform (GCP) storage, resulting in an annual cost reduction of $76,000.
Developed and deployed a data clean-up script that automates object cleanup.
Spearheaded the POC, development and integration of Bigtable into the existing system
Revamped the audience user segmentation engine by categorizing users into three distinct categories to improve performance and business cost.
Successfully migrated a complex Spark streaming service from on-premises infrastructure to GCP, optimizing customer behavior-triggered actions.
Expert in maintaining critical systems for optimal reliability, skilled in troubleshooting, and experienced in incident management.
Proven experience in optimizing low-latency services, ensuring peak performance & Proficient in profiling production applications to pinpoint and resolve performance bottlenecks.

02/2022 - 09/2022, Senior Data Engineer, Flipkart, Bengaluru, Karnataka, India

worked on GCP migration project and business requests processing.
Creating Facts as per Business request
Working on fact redundancy project to optimize the cost and space

01/2021 - 02/2022, Data Platform Engineer, Paytm, Bengaluru, Karnataka, India

Developed a centralized data catalog for compliance within Hadoop, integrating it with enterprise data tools.
Designed and implemented OLAP systems to enhance data analysis and reporting.
Led EMR cluster migration (v5.3.0 to v6.3.0) and Spark upgrade (v2.4.7 to v3.1.0) for improved performance.
Created an automated S3 Cleaner tool to optimize data storage and cost management.
Conducted POCs with various technologies, informing strategic decisions.
Optimized Spark performance for efficient data processing.
Built a data-builder microservice for seamless metadata updates.
Introduced a data-steward microservice for manual metadata control.
Integrated AWS Deequ for enhanced data quality assurance.
Implemented data anomaly detection feature using Deequ metrics.
Proficiently used Docker for production-ready Python applications.
Identified and reported a critical bug during EMR migration.
Proposed solutions for YARN auto-scaling challenges.

02/2020 - 01/2021, Data Engineer, KPMG | Client – Goldman Sachs, Bengaluru, Karnataka, India

Spearheaded ETL, enhancing support for Machine Learning teams.
Fulfilled a pivotal role as a production engineer, dedicated to optimizing product performance.
Innovatively devised a pricing tool, leading to precise calculations and a reduction in brokerage expenditures.
Engineered an application for ETL. This achievement curtailed unnecessary brokerage payments, resulting in substantial cost savings.
Streamlined the design of an existing application, resulting in a marked improvement in performance metrics.
Assumed responsibility for onboarding Big Data applications onto AWS cluster, ensuring seamless integration and operation.
Pioneered the development of a real-time stream processing application, enabling instant data processing and analysis.

06/2018 - 02/2020, Data Engineer, Mindtree | Client – JW Marriot, Bengaluru, karnataka, India

Led a technology migration project to upgrade the revenue management system with cutting-edge-real-time processing technologies.
Designed and automated a robust ETL pipeline for seamless flow of data across diverse software systems.
Orchestrated complex workflows to schedule and manage Hadoop Jobs, optimizing data processing.
Engineered a distributed data processing application to optimize data handling across systems, enhancing overall system efficiency.
Managed structured and unstructured data, including data creation, storage, aggregation, transformation, and presentation, while onboarding Hadoop Jobs to the Cloud.
Automated Hadoop Job report generation, streamlining processes and saving valuable time.

Awards

Awarded by Honorable Chief Minister& Chief Executive Officer Startup Secretariat & IED, Odisha.
1st Runner Up of Smart India Hackathon 2017 Under the department of tourism of India.
Qualified for ACM-ICPC (International Collegiate Programming Contest)2016, 2017 Regionals/Asia Finals.
Competitive Coding: Rank 187 in Google Kick Start 2017, Hacker Rank- Code Sprint 6 & 9, Bronze Medal
Qualified for Facebook & Google Code Jam Round 2, 2016.

Skills

Programming Language - Scala, Python, Java

Database - MS SQL, MySQL, PostgresSQL

Devops - Docker, Kubernetes, CI/CD, Jenkins

Cloud - AWS, GCP

SDLC - Agile, WaterFall, Iterative

distributed system

Big Data Framework - Spark, Airflow, NiFi, Kafka, Atlas, ES, Solr, Cassandra, Hbase, Hive, BigTable

Certificates

AWS CLP Certified
Neural Network & Deep learning
Introduction to Data Science

Position Overview:

As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure. Responsibilities include gathering and processing raw data, transforming and storing it in data warehouses or databases, and ensuring data quality and integrity. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and implement solutions to meet their needs. Utilize your expertise in programming languages like Python, SQL, and tools such as Apache Spark or Hadoop to develop efficient data processing workflows. Stay updated on emerging technologies and best practices in data engineering to continuously improve data infrastructure and processes. Join our team to play a crucial role in building and optimizing data pipelines that enable data-driven decision-making and insights.

Company Overview:

HelloFresh is a prominent meal kit delivery service, providing customers with convenient and nutritious meal solutions. Founded in 2011, HelloFresh offers a diverse menu of chef-curated recipes and pre-portioned ingredients delivered directly to customers' doorsteps. With a focus on freshness, quality, and sustainability, HelloFresh aims to simplify home cooking while inspiring people to enjoy delicious, homemade meals. The company's flexible subscription options and user-friendly platform make it a popular choice for individuals and families seeking convenient and enjoyable dining experiences.

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