Rahul singh

Data Engineer

New Delhi, Delhi, India3 yrs 6 mos experience

Key Highlights

Expert in building data pipelines using Hadoop and Spark.
Delivered impactful KPIs and dashboards for decision-making.
Proven experience in diverse industries including Fintech and Telecom.

Stackforce AI infers this person is a Big Data Engineer with expertise in Fintech and Telecommunication sectors.

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Skills

Core Skills

Etl DevelopmentData TransformationData Pipeline DevelopmentData Analytics

Other Skills

AirflowApache KafkaApache Spark StreamingDashboardsDatabasesElasticsearchHadoopHiveKafkaMicrosoft ExcelPySparkPython (Programming Language)SQLScalaSpark

About

• Experienced in designing, building, and maintaining various data-driven use cases across diverse verticals, including connectivity, Retail, Telecommunication, Banking industry and Technology. • Built end-to-end data pipelines Utilizing Hadoop, Spark, Spark Streaming ,Kafka, Hive and various database systems. • Delivered insightful, interactive KPIs and dashboards that supported business decision-making and enhanced reporting capabilities, leading to actionable insights and improved operational efficiency. • Deployed and tuned jobs for massive cluster nodes. Focusing on driving low-cost development, enhancing user engagement.

Experience

Incedo inc.

Senior Data Engineer

Aug 2025 – Present · 7 mos · Gurgaon · Hybrid

Zs

Big Data Developer

Jan 2025 – Jul 2025 · 6 mos · India · Hybrid

Centralized financial and operational datasets from multiple business teams by designing and implementing a multi-layered ETL pipeline (Raw → Refined → Final Refined → Work → Consumption).
Ingested and processed heterogeneous data sources including database tables and business-provided CSV files using Spark, Hive, and Hadoop for structured data transformation.
Applied complex business logic, data validations, and SQL transformations at the Work layer to ensure accuracy for downstream forecasting and reporting.
Delivered clean, standardized datasets into the CDLF (Hive) environment to support analytics, KPI dashboards, and financial forecasting use cases.
Collaborated with cross-functional business teams to gather requirements, resolve data quality issues, and validate final outputs for consumption.

SparkHiveHadoopSQLETL DevelopmentData Transformation

Jio platforms limited (jpl)

Big Data Engineer

Jul 2022 – Dec 2024 · 2 yrs 5 mos · New Delhi NCR · On-site

Experienced in designing, building, and maintaining various data-driven use cases across diverse verticals, including connectivity, Retail, Telecommunication, Banking industry and Technology.
Built end-to-end data pipelines Utilizing Hadoop, Spark, Kafka, Hive and various database systems.
Delivered insightful, interactive KPIs and dashboards that supported business decision-making and enhanced reporting capabilities, leading to actionable insights and improved operational efficiency.
Deployed and tuned jobs for massive cluster nodes. Focusing on driving low-cost development, enhancing user engagement.

HadoopSparkKafkaHiveData Pipeline DevelopmentData Analytics