Mohit Manna

Data Engineer

Gurugram, Haryana, India5 yrs 5 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building real-time data pipelines using Spark and Kafka.
Proficient in integrating complex data systems for customer engagement.
Strong background in data engineering with Azure and Databricks.

Stackforce AI infers this person is a Data Engineering expert in SaaS environments, focusing on real-time data integration and analytics.

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Skills

Core Skills

PythonSparkSqlDbtDatabricksAirflowData EngineeringBig Data

Other Skills

Python (Programming Language)Java Database Connectivity (JDBC)DatabasesSpark-StreamingKafkaAzure Data FactoryAzure Synapse AnalyticsApache AirflowData LakeMicrosoft AzureArgoPowerPointProgrammingMachine LearningData Mining

About

Data Engineer at To The New

Experience

5 yrs 5 mos

Total Experience

2 yrs 8 mos

Average Tenure

2 yrs 9 mos

Current Experience

Expedia group

Data Engineer III (Contract)

Aug 2025 – Present · 9 mos · Gurugram, Haryana, India · Hybrid

Payroll: EPAM
FDS

Epam systems

Data Engineer

Aug 2023 – Present · 2 yrs 9 mos · Gurugram, Haryana, India · Remote

Python (Programming Language)SparkPython

Atlassian

Data Engineer

Aug 2023 – Jun 2025 · 1 yr 10 mos · Gurugram, Haryana, India · Remote

Payroll Organization : EPAM Systems
CSS Data Engineering
Creating Jobs in Databricks and Airflow to provide support for BI and Data Science teams

SQLDBT

To the new

2 roles

Data Engineer

Dec 2020 – Aug 2023 · 2 yrs 8 mos

Integrating transactional data, MDM data and customer data to create KPIs to track shopping behavior of customers and pushing it into Braze for customer engagement
Integrating receipt scanning data with existing KPIs
Building real-time pipelines using Spark-Streaming and Kafka to to reduce latency
Loading data into Oneview system from data warehouse
Created auditing and alert framework in Airflow to track performance of KPI jobs and dags at each level of processing. With dashboard in Redash
Optimizing data pipelines to reduce run time and save data point costing on Braze API
End-to-end data solution using Airflow and Spark to ingest data in Vertica Data Warehouse from multiple data sources such as APIs, BigQuery, S3, Relational databases and SFTP etc.

Java Database Connectivity (JDBC)DatabasesData EngineeringBig Data

Trainee

Feb 2020 – Nov 2020 · 9 mos

Create end to end robust data pipeline in Airflow to do data ingestion via Azure Data Factory, Azure Synapse Analytics and Data Quality rules written using Deequ library and analysis in Azure HD Insight for clickstream data

Python (Programming Language)DatabricksData Engineering