Prateek Maheshwari

Software Engineer

Bengaluru South, Karnataka, India10 yrs 6 mos experience

Key Highlights

Proficient in building scalable data processing systems.
Strong background in Ecommerce and financial services.
Expertise in Hadoop ecosystem and Java development.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with strong expertise in Fintech and Ecommerce.

Contact

prateekmaheshwari0209@gmail.com LinkedIn

Skills

Core Skills

Spring BootHadoopJava

Other Skills

ScalaHiveShell ScriptingApache SparkSQLCJavaScriptData StructuresCore JavaMySQLRApache PigHBaseSqoopObject Oriented Design

About

Experienced Software Engineer with a demonstrated history of working in the Ecommerce and financial services industry. Skilled in SQL,Hadoop ,MapReduce,Hive, Spark,Java,Scala,Data Structures, and Linux. Strong engineering professional with a Bachelor of Engineering (B.E.) focused in Computer Science and Engineering from Shri Govindram Seksaria Institute Of Technology and Science.

Experience

Trudoc

Lead Software Engineer

Feb 2026 – Present · 1 mo · Bengaluru

Salesforce

Senior Member of Technical Staff

Dec 2023 – Jan 2026 · 2 yrs 1 mo · Bengaluru · On-site

Spring Boot

Lummo (formerly bukukas)

Software Development Engineer 3

Sep 2021 – Nov 2023 · 2 yrs 2 mos · Bengaluru, Karnataka, India

Spring Boot

Gojek tech

Software Engineer 3

Aug 2019 – Sep 2021 · 2 yrs 1 mo · Bengaluru, Karnataka, India

Spring Boot

Flipkart

2 roles

Software Development Engineer ||

Promoted

Apr 2019 – Aug 2019 · 4 mos · Bengaluru, Karnataka, India

Description: working on Alertz and Cosmos Service
Alertz: Flipkart's in-house alerting system (similar to pager duty, ops genie)
Cosmos: Central Time Series metric store of Flipkart.
a) 2 PB of data.
b) Million data points per second.

Spring Boot

Software Development Engineer

Nov 2017 – Apr 2019 · 1 yr 5 mos · Bengaluru, Karnataka, India

Barclays

Software Developer

Jun 2015 – Oct 2017 · 2 yrs 4 mos · Pune

Data Processing Pipeline on Hadoop - Data Modernization (BarclaycardUS)
15th June 2015 to present
Project description
Data requirements from businesses like AML, Fraud, Non-Monetary related transactions.
1.Ingesting data available from various sources like:
a. IBM Mainframe systems in EBCDIC format ingested
b. Ingesting data from no sql database like mongo db into hive through a spark job
c. Rest API responses in JSON format ingested in streaming mode
2.Sqooping Data from existing oracle warehouse into hadoop using sqoop jobs
The data of various monetary transactions and customer details was stored in traditional
oracle database but due to increase in size of data the data was to be systematically moved
to hadoop so that data could be managed properly and a proper analytics could be
performed over that so the sqoop jobs were written for the data migration.
3. Developing and Contributing in existing Java applications which facilitated the process to
ingest data in hadoop ecosystem in an efficient manner
4.Developing efficient shell scripting jobs that could minimize and the code work and
increase the efficiency of the whole process
Technologies: JAVA,Scala, Hadoop (CDH 5.5) , Hive, Kafka(basics), Unix Shell Scripts
Apache Spark ,Spark sql,Spark Streaming