Ranga Vure

DevOps Engineer

Hyderabad, Telangana, India19 yrs 8 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

14 years of Java/J2EE experience with strong Big Data expertise.
Proven track record in designing and developing data pipelines.
Passionate about Big Data technologies and startup culture.

Stackforce AI infers this person is a Big Data Architect with extensive experience in SaaS and Data Engineering.

Contact

Skills

Core Skills

Data ScienceMachine LearningBig DataData EngineeringSoftware Development

Other Skills

SparkScalaPySparkGCPMLFlowZeppelinPigHivePrestoPythonJavaHadoopMapReduceCascadingJ2EE

About

• 6 years of hands on experience in 𝑩𝒊𝒈𝑫𝒂𝒕𝒂 (𝑺𝒑𝒂𝒓𝒌, 𝑷𝒚𝑺𝒑𝒂𝒓𝒌, 𝑯𝒊𝒗𝒆, 𝑷𝒊𝒈, 𝑺𝒄𝒂𝒍𝒂, 𝑷𝒚𝒕𝒉𝒐𝒏, 𝑯𝒂𝒅𝒐𝒐𝒑, 𝑮𝑪𝑷) and around 14 yrs in 𝑱2𝑬𝑬 • Passionate of about BigData Technologies, dynamic, highly committed and love to work in companies with startup culture (Lead by Example, you break you fix, fail fast)• I worn/continue to wear different hats as 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐌𝐚𝐧𝐚𝐠𝐞𝐫, 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐚𝐧𝐝 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 in different times and phases of the project/company • Strong Java background with 14 years experience in 𝑱𝒂𝒗𝒂/𝑱2𝑬𝑬 𝒘𝒊𝒕𝒉 𝑶𝒓𝒂𝒄𝒍𝒆/𝑫𝑩2/𝑺𝑸𝑳 𝑺𝒆𝒓𝒗𝒆𝒓

Experience

19 yrs 8 mos

Total Experience

2 yrs 9 mos

Average Tenure

5 yrs 11 mos

Current Experience

Micron technology

2 roles

Senior Member of Technical Staff

Dec 2023 – Present · 2 yrs 5 mos · Hyderabad, Telangana, India

Principal Solution Architect Manufacturing - AI

Jun 2020 – Present · 5 yrs 11 mos · Hyderabad, Telangana, India

Kohl's

2 roles

Solution Architect

Jan 2018 – Jan 2020 · 2 yrs

Design, Development, Troubleshooting of DataScience/ML/Recommendations pipelines (Based on LightGBM, Linear Programming, Regression and Classification models) using Spark, Scala, PySpark, GCP. Design and Development of spark unit test framework, data access frameworks (for Google BigQuery, Hive)

SparkScalaPySparkGCPData ScienceMachine Learning

Data Science Architect

Oct 2016 – Dec 2017 · 1 yr 2 mos

Design, Development of DataScience/ML/Recommendations pipelines using Spark, Scala, PySpark, GCP. Adapting new Tools/Frameworks like MLFlow, Zeppelin to make ease in ml model development life cycle. Productionizing MLModels, Design and Development of reusable Machine learning API

SparkScalaPySparkGCPMLFlowZeppelin+2

Netflix

Sr Big Data Engineer

Jun 2015 – Oct 2016 · 1 yr 4 mos · Los Gatos, CA

Design and Development of Data Pipelines (account/subscription data pipelines are very very critical) from various data sources Cassandra, Kafka, Teradata sources using Pig, Hive, Presto,Python/Java UDF, Spark.

PigHivePrestoPythonJavaBig Data+1

Ge digital

Hadoop/Big Data Consultant

Feb 2015 – May 2015 · 3 mos · San Ramon, California

Capital one

Hadoop Architect

Sep 2013 – Jan 2015 · 1 yr 4 mos · Richmond, Virginia Area

Design and Development of Hadoop/Bigdata solutions using Hadoop,Java Map Reduce,Cascading,Pig,Hive

HadoopJavaMapReduceCascadingPigHive+2

E-data experts, india (capitalone, experian)

Technical Lead

May 2011 – Sep 2013 · 2 yrs 4 mos · Hyderabad Area, India

Experian Australia implementation was really big challenge (Geo graphically distributed Experian developers across US, India, France, Chile). Finally we did it.
Very valuable experience for me both technically and execution.
Technical stack includes, Java/J2EE, Drools, JBoss, ETL

JavaJ2EEDroolsJBossETLSoftware Development+1

Pegasystems

Tech Lead

Apr 2009 – May 2011 · 2 yrs 1 mo

My contribution other than regular engineering deliverables, was my POC about alternate solutions for BLOB retrieval.
Proud that my Blob Solution, finally got implemented in Pega.