Priyanka Garg

Director of Engineering

Noida, Uttar Pradesh, India15 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

10 years of experience in software product development.
Expertise in Big Data technologies like Spark and Hadoop.
Recognized for contributions to multiple successful projects.

Stackforce AI infers this person is a Big Data Engineer with strong expertise in Spark and Hadoop technologies.

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Skills

Core Skills

SparkHadoop

Other Skills

MapReduceHBaseSparkSqlParquetOoziePythonCore JavaSQLUnixJDBCJavaShell ScriptingEclipseAgile MethodologiesJava Enterprise Edition

About

10 years of experience in software product development, handling multiple areas in Big Data, currently working with Adobe. Specialities : Spark, Hadoop, Scala, Core Java, python, Airflow, Azure

Experience

15 yrs 4 mos

Total Experience

3 yrs 10 mos

Average Tenure

9 yrs 10 mos

Current Experience

Adobe

4 roles

Senior Engineering Manager

Jan 2025 – Present · 1 yr 4 mos

Senior Computer Scientist

Promoted

Jan 2022 – Dec 2024 · 2 yrs 11 mos

Computer Scientist - II

Jan 2020 – Dec 2021 · 1 yr 11 mos

Computer Scientist

Apr 2016 – Dec 2019 · 3 yrs 8 mos

Amazon

SDE - II

Feb 2016 – Apr 2016 · 2 mos · Gurgaon, India

Guavus

2 roles

Senior Software Developer

Promoted

Mar 2013 – Jan 2016 · 2 yrs 10 mos

Designing and developing Big Data Applications using technologies like Spark/Hadoop/MapReduce.
Presently working on Spark on Hadoop Yarn and using HBase,SparkSql,Parquet.The major tasks includes designing, development, upgrades, bug fixes, performance tuning
Writing Map-Reduce jobs in Hadoop/Spark to parse big data and produce analytics.
Using low latency shared memory for IPC across JVMs.
To speed up the MR jobs to find Heavy Hitters.
Using Oozie and python to automate calling MR jobs & pushing data to DB.
Improving performance of the product by moving Business annotations to MR.
Hands on experience in Spark, Hbase, Hadoop.
Performance Optimization in various solutions (in hadoop and in spark).
Attended Spark Summit in June, 2015 in San Francisco.
Recognition Award for MPLS Project (Year 2013)
Most Curious Award (Based on Voting across all teams) (Year 2014)
Recognition Award for True Up (Year 2015)