JITENDRA KUMAR
Bengaluru
Summary
Staff Data Engineer with 9.5 years of experience in designing and evolving enterprise-scale data platforms across various sectors including banking and telecom. Expertise in data architecture and cloud-native modernization on AWS, ensuring reliable analytics at scale. Skilled in building data lakes and analytics layers using Spark, DBT, and Python, integrating complex data sources like Oracle and Teradata. Recognized for influencing platform standards and improving performance and cost efficiency through collaboration with cross-functional teams.
Overview
9
9
years of professional experience
Work History
Staff Data Engineer
ANZ
Bengaluru
12.2023 - Current
- Designed and maintained end-to-end data pipelines ingesting data from Oracle, Teradata, and flat files into AWS S3, using Airflow for orchestration and ensuring reliable daily SLA delivery.
- Built DBT transformation models (staging, intermediate, datamarts) to create customer 360, campaign eligibility, and agent allocation datamart, improving data consistency and downstream analytics performance.
- Implemented incremental DBT models and S3 partitioning strategies, reducing transformation runtime and cloud compute costs by over 30%.
- Developed Python-based ML pipelines for campaign propensity scoring and customer segmentation, publishing scored outputs to PostgreSQL for CRM and bank agent consumption.
- Optimized data delivery to PostgreSQL production systems by loading campaign-ready user subsets only, enabling fast access for marketing teams and field agents.
- Collaborated with analytics and business stakeholders to implement banking-specific rules including risk thresholds, regulatory exclusions, consent checks, and campaign cooldown logic.
- Established data quality checks and validation rules using DBT tests, ensuring accuracy and compliance for commercial banking reporting and campaigns.
- Supported commercial banking analytics and dashboards, enabling insights into campaign performance, customer profitability, and agent productivity.
- Led cost and performance optimization initiatives across ingestion, transformation, and serving layers, improving pipeline reliability while reducing overall platform costs.
- Designed compliant data models and governance frameworks for GoBiz, DEP, and Broker campaign analytics, leveraging governance tools to enforce lineage, quality, and regulatory controls.
Senior Data Engineer
Altimetrik
Bengaluru
04.2021 - 11.2023
- Migrated DataMarts & Data Lakes to AWS (S3, Glue, Redshift, EMR, Lambda, Step Functions), cutting costs by 20%.
- Built real-time Spark pipelines, reducing latency from 8 hours → 45 minutes.
- Led a team of 6 engineers, mentoring peers and increasing delivery efficiency by 15%.
- Projects: Brand Marketing, Developer & Partner, DATA GetWell, Finance Data
- Tech: Spark, Python, Scala, Talend, Informatica, AWS Glue, Redshift, Lambda, Databricks, Tidal, Alation
- Optimized database performance through indexing and query tuning strategies.
- Created ETL scripts to move and transform data from various sources into a centralized repository.
- Optimized existing queries in order to improve query performance and reduce the load on the server.
- Designed financial data models using star schema to support scalable reporting and analytics pipelines.
Senior Software Engineer
Altran - Amdocs
Bengaluru
06.2019 - 03.2021
- Developed Azure Data Factory & Databricks pipelines, improving throughput by 40%.
- Designed schemas in Azure Synapse & Blob Storage, boosting query performance by 28%.
- Automated monitoring with Azure Functions, reducing error resolution time by 50%.
- Acted as Scrum Lead, facilitating stand-ups and mentoring 3 engineers on Databricks best practices.
- Projects: Vodafone India, Century Link, VEON, Kyiv Star, SingTel | Team Size: 6-8
- Tech: PySpark, Hive, SQL, Snowflake, ADF, Databricks, Azure Blob Storage, GitHub
Implementation Engineer
6D Technologies
Bengaluru
10.2016 - 06.2019
- Developed Hadoop & Spark-based ETL pipelines for telecom billing data.
- Automated workflows using Python, Shell, Sqoop, cutting manual work by 60%.
- Ensured high availability through Oozie & crontab scheduling.
- Delivered QA frameworks and data quality checks, ensuring governance compliance.
- Guided 2 interns, providing mentorship on Hadoop and Spark.
- Projects: APUA, Globecom, NEDDA, Ooredoo | Team Size: 8
- Tech: Spark, Hive, Sqoop, Shell, Linux, Hadoop
- Performed troubleshooting of post-release software faults to support live service and installed software patch design.
Education
B.E. - Computer Science
Visvesvaraya Technological University (VTU)
Bangalore01.2016
Skills
Data engineering and platforms
- Cloud and big data
- Orchestration and automation
- Programming and development
- Data governance and compliance
- Leadership and delivery
- Enterprise data lakes and marts
- End-to-end ETL/ELT design
- DBT analytics engineering
- Customer 360 analytics
- Data modeling techniques
- AWS data platforms expertise
- Azure data services proficiency
- Distributed processing with Apache Spark
- Cloud migration strategies
- Workflow orchestration tools
- Pipeline scheduling and monitoring
- CI/CD for data pipelines
- Python, SQL, Scala, shell scripting
- Performance optimization techniques
- Incremental processing strategies
- Data quality validation processes
- Metadata management practices
- Regulatory controls and risk management
- Production readiness and compliance
Timeline
Staff Data Engineer
ANZ
12.2023 - Current
Senior Data Engineer
Altimetrik
04.2021 - 11.2023
Senior Software Engineer
Altran - Amdocs
06.2019 - 03.2021
Implementation Engineer
6D Technologies
10.2016 - 06.2019
B.E. - Computer Science
Visvesvaraya Technological University (VTU)