J

Jishant Singh

Co-Founder

Bengaluru, Karnataka, India7 yrs 2 mos experience
Most Likely To Switch

Key Highlights

  • Expert in building scalable data pipelines.
  • Proficient in Apache Spark and real-time data processing.
  • Strong leadership experience in tech startups.
Stackforce AI infers this person is a SaaS Data Engineer with expertise in ETL and data pipeline development.

Contact

Skills

Core Skills

Apache SparkEtlData Pipeline

Other Skills

AWSAWS S3AirflowApache AirflowApache FlinkAthenaC (Programming Language)C++GlueGrafanaJavaKafkaLeadershipMatlabMySQL

About

Uber | IITK | Bounce

Experience

Stealth startup

Founding Engineer

Jul 2023Present · 2 yrs 8 mos · Bangalore Urban, Karnataka, India · On-site

Self-employed

Co-Founder

Feb 2023Jul 2023 · 5 mos · Bangalore Urban, Karnataka, India

  • Research and Tech

Uber

Software Engineer II

Feb 2021Feb 2023 · 2 yrs · Bangalore Urban, Karnataka, India

Bounce

2 roles

Senior Data Engineer

Apr 2020Feb 2021 · 10 mos

  • Data Quality Tool as a service for metric computation and MYSQL based metrics repository feeding grafana dashboards providing graphical representation of data and alerting.
  • Apache Spark framework for configurable, generic ETL and cross connectivity across data sources.
  • Working on custom rule based realtime ETL engine based on Apache Flink.
Apache SparkETLMySQLGrafanaApache Flink

Data Engineer

Nov 2019Apr 2020 · 5 mos

  • Serverless data platform backed by AWS S3, Glue and athena, powered by Apache Spark, Kafka, Sqoop, Airflow.
  • Apache Atlas based data discovery layer providing insight into platform data.
  • Realtime data pipeline (Kafka) with Avro, Schema registry and Kafka Connect consumer and Apache flink for stre processing.
  • Airflow Scheduler
AWS S3GlueAthenaApache SparkKafkaAirflow+1

Rivigo

SDE1

Jan 2019Nov 2019 · 10 mos · Gurgaon, India

  • Serverless Reporting Platform
  • Created pyspark/scala ETL framework leveraging Apache Spark facilitating analytics on app,sensor data.
  • Created DAG framework for Apache Airflow facilitating scheduling of data pipeline.
  • Developed enhanced Kafka Consumer with added support for custon JSON message parsing and S3 integration
  • Pipeline integration with AWS services, S3, Athena, Glue, Apache Superset.
  • Expected Time of Arrival (ETA)
  • Benchmarked performance of existing model
  • Revamped the input data pipeline making it 20x more efficient down to 2 hours.
  • Improved features to reflect heavier weightage of recent data.
  • Key Result Areas for Transport Network
  • Designed KRAs to measure network health, automated for regular reporting to management.
  • Maintenance of Spring Boot based microservice for auto approval of fuel bills using OCR.
  • Maintenance of flask based python API service for computation of best route using Dijkstra's and other constrains.
Apache SparkScalaApache AirflowKafkaAWSETL+1

Education

Indian Institute of Technology, Kanpur

Jan 2014Jan 2018

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