Sudheer Gajula

Product Manager

Bengaluru, Karnataka, India14 yrs 5 mos experience

Highly Stable

Key Highlights

Expert in architecting scalable big data ecosystems.
Proven track record in real-time analytics and operational excellence.
Strong leadership in data operations and governance.

Stackforce AI infers this person is a Big Data Architect with expertise in cloud-native data ecosystems.

Contact

Skills

Core Skills

Big DataData QualityData GovernanceData Platform DevelopmentData Engineering

Other Skills

AJAXAgile MethodologiesAgile TestingAirflowAnalyticsApache KafkaApache SparkApache Spark StreamingAutomated retryBig Data AnalyticsCassandraCloud ComputingCloud DevelopmentData ObservabilityData Structures

About

Experienced Engineering Leader | Architecting Scalable Big Data Ecosystems | Driving Real-Time Analytics & Operational Excellence With a strong background in building and scaling modern data platforms, I specialise in designing high-performance, cloud-native data ecosystems that enable real-time insights and analytics at scale. My expertise spans distributed systems, data infrastructure, and automation—empowering large enterprises to make data-driven decisions with speed, reliability, and confidence. In my current role, I lead the Data Operations portfolio, delivering critical capabilities across data ingestion, orchestration and scheduling, data quality, and data cataloging. I focus on creating resilient and scalable data pipelines while embedding observability and automation throughout the data lifecycle to ensure operational excellence.

Experience

14 yrs 5 mos

Total Experience

2 yrs 5 mos

Average Tenure

Current Experience

Target

3 roles

Principal Engineer

Promoted

Apr 2024 – Nov 2025 · 1 yr 7 mos

Data Operations @ Target.
My work ensures that data moves seamlessly and govern data movement within and outside Target.
» Data ingestion - Ingesting data from diverse sources (Batch, Streaming)
» Data Observability - Lineage, Governance, Policy, Data Lifecycle & much more.
» Data Quality - Monitoring, testing, and validating data pipelines for quality and reliability
» Scheduling & Orchestration - workflows with in hybrid ecosystem.

Big DataScalaAnalyticsSparkicebergApache Kafka+5

Lead Engineer - Data Platform

Oct 2021 – Apr 2024 · 2 yrs 6 mos

Building Data application platform for building and managing data analytics applications in hybrid and multi-cloud environments.
Aimed to design and develop once and run in Public Cloud, Private Cloud and On-Premise through unified platform.

JavaScalaBig DataBig Data AnalyticsApache KafkaApache Spark+3

Lead Engineer - Data

Apr 2020 – Oct 2021 · 1 yr 6 mos

Team - Data Engineering(Inventory)
★ Runner up in Hackathon FY 20 - Demystifying Airflow and smart triage using automated retry.
★🥉 in Global Hackathon FY 21 - Bot for ETA prediction and real-time job status.

HadoopHiveTrinoScoopBigdataApache Spark+4

Rubrik, inc.

MTS

Aug 2019 – Apr 2020 · 8 mos · Bengaluru Area, India

Team - JARVIS
» Metric Stack - [Rubrik stats management] Support system utilising real-time stats using TIG.(Telegraf, Influx and Grafana)
» Log Stack - Real time log processing across clusters using ELK.
» Apollo - [Data pipeline processing] Distributed compute data processing pipeline for analysing the Logs and Stats for Business Intelligence.

Apple

Software Engineer

Feb 2018 – Aug 2019 · 1 yr 6 mos · Hyderabad Area, India

Team - Data team, Ads
➦ Tech Stack: Hadoop, Hive, Gobblin, Mysql, Spark Streaming, Kafka & Cassandra.
» Worked on building Data Ingestion platform using Gobblin and Spark Streaming.
» Worked on building tools for large scale data ingestion platform for validation of data consistency and integrity.
» Worked on distributed Job Framework for scheduling and execution.
» Designed and developed framework for sampling of data in real time during ingestion into Kafka.

Inmobi

Senior Software Development Engineer

Mar 2015 – Feb 2018 · 2 yrs 11 mos · Bangalore

Team - Inmobi for Commerce and monetization. (IFC)
➦ Tech Stack : Hadoop, Hive, Spark, Postgres and Aerospike for Caching.
» Built tools for improving engineering productivity and release velocity in the team.
» Designed and implementation of data targeting and audience pipelines for targeting users based on events.
» Responsible for enabling daily automated software releases for Inmobi's Ads products
★ Was nominee for Hawk Eye award for best QA engineer FY 17-18.
★ Awarded SPOT-R thrice during my tenure.

Amazon

Software Engineer

Jan 2014 – Jun 2015 · 1 yr 5 mos · Hyderabad Area, India

Team - Global Financial Systems, vendor payment systems. (GFS)
➦ Tech Stack: Spring, Hibernate and Oracle.
» Responsible for delivering the software systems which accurately capture, process, and report on the huge volume of financial transactions.
» Worked on complete migration of legacy platform from C++ to Java for core vendor payments.

Fiserv

Software Engineer

Jun 2011 – Jan 2014 · 2 yrs 7 mos · Bangalore

» Accountable for the testing of our Model Maintenance and legacy integration application products.
Tech Stack : Selenium, TestNG and HP QC.
★ won monthly best engineer twice. (wall of fame)