Human / 01
NitheeshChanambatla
Data Engineer · Geospatial Data Engineering
Data
Engineering
4+ years building reliable batch, streaming, cloud, and geospatial data platforms.
Human signalNitheesh ChanambatlaData Engineer · 4+ years building reliable data platforms
Engineering signalBatch · Streaming · Cloud · GeospatialBuild · Govern · Measure
Evidence signalNASA · Customer360 · RetailSyncVerified engineering evidence
Governed geospatial processing with deterministic lineage and replay-neutral analytics.
- Local
- 1M verified
- AWS managed
- 5M verified
- Measured
- 8,734.80/s
- Physical verification
- 82 matches
Selected engineering work
Evidence before assertion.
Three verified projects show distributed processing, dimensional modeling, data-quality controls, and honest system boundaries.
Evidence map / 02
Signals become accountable systems.
- 01SourceVerified inputs
- 02TransformDeterministic paths
- 03GovernIdentity + lineage
- 04MeasureReconciled evidence
- 05BoundExplicit limits
01 / Flagship Local 1M + AWS managed 5M verifiedNASA Earth Observation Event Intelligence PlatformGoverned geospatial processing · deterministic lineage · replay-neutral analytics
A governed NASA FIRMS platform that preserves source truth while testing deterministic lineage, replay-neutral analytics, recovery, geospatial serving, and bounded managed-cloud execution.
- AWS managed
- 5,000,000 replay events
- Measured
- 8,734.80 events/second
- Verified
- 82 Silver/Gold SHA-256 matches
- Scientific grain
- 10,000 detections
- Local boundary
- 1M complete platform
- Explicit limit
- AWS 10M not executed
02 / Supporting Supporting project · Verified locallyCustomer360 Analytics WarehouseDimensional modeling · SCD Type 2 · quality quarantine
PostgreSQL dimensional warehouse loading 400,000 sales facts across five source domains, with tested SCD Type 2 dimensions, quarantine, and repeat-safe loading.
20 analytical SQL queries · 20 automated tests · hosted CI passed
03 / Supporting Supporting project · Verified locallyRetailSync Data PlatformDeterministic batch ETL · transactional serving · quarantine
Deterministic local batch ETL with a separately verified 100,000-order run, transactional SQLite snapshot replacement, and invalid-measure quarantine.
6 local tests passed · hosted CI passed on a 1,000-row fixture
Engineering identity
Systems built around data truth.
Capabilities are presented as working engineering patterns—not a keyword inventory.
01 / ExpressProgrammingLanguages that shape the system
Python, SQL, Java, Scala, Shell, JavaScript, and HTML/CSS.
02 / MoveData platformsBatch, streaming, and orchestration
Apache Spark, Apache Kafka, Airflow, Hadoop, HDFS, YARN, Hive, Presto, AWS Glue, Informatica, ETL/ELT, batch and streaming pipelines, and CDC.
03 / OperateAWS data platformsManaged execution and controls
AWS EMR Serverless, S3, Glue Data Catalog, Athena, Kinesis, Data Firehose, Lambda, Redshift, IAM, KMS, CloudFormation, and CloudWatch.
04 / ModelDatabasesServing grain and analytical shape
PostgreSQL, PostGIS, SQLite, dimensional modeling, star and snowflake schemas, SCD Type 2, partitioning, bucketing, and indexing.
05 / LocateRemote sensingGeospatial identity and provenance
NASA FIRMS, satellite-derived active-fire observations, geospatial event processing, EPSG:4326/WGS84, spatial indexing, bounding-box queries, acquisition-time semantics, replay-neutral spatial-temporal aggregation, and lineage/provenance.
06 / AssureDeliveryReliability, recovery, and evidence
Data validation, reconciliation, idempotency, retries, failure recovery, quarantine, CI/CD, Git, Jenkins, Docker, ELK, and root-cause analysis.
07 / PublishPortfolio engineeringAccessible, bounded web delivery
Node.js, Vercel, Supabase, Zod, responsive design, accessibility, and Content Security Policy.
Career foundation
Enterprise delivery. Independent evidence.
Experience across financial-services and healthcare environments, supported by independently verified portfolio systems.
- 2023—Present
Data Engineer · Discover (Client Engagement)
Batch, streaming, AWS data-lake, warehouse, quality, delivery, and operational reliability work.
- 2021—2022
Data Engineer · Cigna
Distributed Spark/Hadoop processing, dimensional modeling, CDC, validation, governance, and production support.
Education: Master’s in Data Science and Artificial Intelligence · Campbellsville University · December 2024
Output
Continue with the evidence—or start a conversation.
Data Engineering · Cloud Data Engineering · Geospatial Data Engineering