P

Pratyaksh Sharma

Product Manager

Bengaluru, Karnataka, India10 yrs 4 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Apache Hudi Committer with significant contributions.
  • Expert in data migration and real-time processing.
  • Awarded Most Valuable Performer for outstanding contributions.
Stackforce AI infers this person is a Data Engineering expert with a focus on real-time data processing and open-source contributions.

Contact

Skills

Core Skills

Data EngineeringEtl ManagementData MigrationReal-time ProcessingSoftware DevelopmentFraud Detection

Other Skills

ETL jobsOozie schedulerApache HiveHudiDelta LakeMaxwellDebeziumSparkKafkaProgrammingMatlabMicrosoft WordImage ProcessingDisaster RecoveryC++

About

- Apache Hudi Committer - Apache Carbondata contributor - Presto contributor - Big data enthusiast - A graduate from Indian Institute of Technology, Varanasi looking to work in a challenging and competitive environment with lots of pre specified deadlines

Experience

Ahana, an ibm company

Senior Open Source Developer

Dec 2021Present · 4 yrs 3 mos · Bengaluru, Karnataka, India

Huawei technologies india

Senior System Architect

Jul 2021Nov 2021 · 4 mos · Bengaluru, Karnataka, India

  • Apache Carbondata contributor

The apache software foundation

Committer - Apache Hudi

Aug 2020Present · 5 yrs 7 mos

  • https://hudi.apache.org/community.html#the-team
  • http://people.apache.org/committer-index.html

Ofs (ola financial services)

Data Engineer II

Jul 2020Jul 2021 · 1 yr · Bengaluru, Karnataka, India

  • Worked actively during the POC phase of DP V3 project where migration of entire data platform from traditional batch jobs to near real time jobs was planned.
  • As part of this migration, different options were evaluated for CDC and reconciliation like Hudi vs Delta Lake, Maxwell vs Debezium.
  • Responsible for managing ETL jobs and workflows catering to business requirements using Oozie scheduler and Apache Hive
  • Received Most Valuable Performer (MVP) award.
ETL jobsOozie schedulerApache HiveData EngineeringETL Management

Tathastu

Data Engineer

Jul 2019Jul 2020 · 1 yr · Bengaluru Area, India

  • Building Real-time data-driven Hyper-Personalization & Smart Inventory Management with Predictive Analytics for Retail 3.0 initiative.

Ola (ani technologies pvt. ltd)

2 roles

Software Development Engineer II

Apr 2019Jun 2019 · 2 mos

Software Development Engineer

Jul 2016Apr 2019 · 2 yrs 9 mos

  • Hands on experience with all aspects of prepaid and postpaid wallets.
  • Built Anomaly Detection System using Spark and Kafka.
  • Worked on controlling P2P waive off fraud, where the cash burn had surged up to 10 lac INR per day. It was brought down to less than 1 lac INR per day.
  • Built late fine feature for Ola money postpaid from scratch.
  • Good understanding of micro service architecture, scalable systems and system design.
  • Worked on disaster recovery process for Ola money prepaid wallet.
SparkKafkaSoftware DevelopmentFraud Detection

Technex, iit (bhu) varanasi

Event Manager

Jan 2016Mar 2016 · 2 mos · Varanasi Area, India

  • - Manager of the team of Image Processing based event Pixelate

Udyam, department of electronics engineering iit (bhu)

Event Coordinator

Dec 2015Feb 2016 · 2 mos · Varanasi Area, India

  • Coordinator of the Raspberry Pi based event RasPi
  • Participants were required to propose a system purely based on Raspberry Pi and submit a working prototype of the same
  • The event was a new addition to the series of technical events being organised every year in Udyam
  • The event witnessed some really cool projects like Automated Ambulance Corridor, Driver Assistance Systems, Customer Complaint portal for Indian Railways and e-voting systems

Changwon national university

Research Intern

May 2015Jul 2015 · 2 mos · South Korea

  • A combination of Local Pattern Descriptors and Discrete Cosine Transform was used to carry out the face recognition process.
  • Achieved an accuracy of 86.80 % on Extended Yale B Database with 2nd order LDP features.
  • Able to outperform the latest works based on Local Pattern Descriptors for face recognition.
  • Achieved an accuracy of 95.63% using 2nd order LDP features on a selfmade database consisting of 16 persons who were subjected to different illumination conditions

Udyam, department of electronics engineering iit (bhu)

Event Coordinator

Jan 2015Mar 2015 · 2 mos · Varanasi Area, India

  • Coordinator of the signal processing and communication based event Commnet.
  • Participants were required to implement the transmitter side of an Orthogonal Frequency Division Multiplexing (OFDM) based communication system in Matlab

Technex, iit (bhu) varanasi

Event Coordinator

Oct 2014Mar 2015 · 5 mos · Varanasi Area, India

  • Coordinator of Image Processing based event Pixelate
  • Participants were required to build a robot based purely on image processing principles to carry out relief process in a flood affected region.
  • The event saw an all time high of 10 teams clearing the qualifying rounds.
  • Dynamic arena was used for the first time.
  • A rematch was organised to decide the winner and the runner up

Ieee student branch iit (bhu)

Treasurer

Apr 2014Mar 2015 · 11 mos · Varanasi Area, India

  • maintaining records of all the expenditures of IEEE Student Branch IIT (BHU)

Education

Indian Institute of Technology (Banaras Hindu University), Varanasi

Bachelor’s Degree — Electronics

Jan 2012Jan 2016

Modern Senior Secondary School, Kota

Higher Secondary Education

Jan 2007Jan 2011

Kendriya Vidyalaya, Baran

Middle Education

Jan 2001Jan 2007

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