Abdul Baseer Shaik
00 — LOADING PORTFOLIO
Available for AWS data engineering roles

Abdul Baseer Shaik.

AWS Data Engineer building cloud data pipelines, enterprise data warehouses, and production-ready ETL/ELT systems across AWS, Spark, and Snowflake.

View resume → View experience
Snapshot/ 2026
0+
Years in data engineering
0
Industry domains
0+
Core AWS data services
M.S.
Information Technology
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AWS GlueAmazon S3Amazon EMRRedshift LambdaStep FunctionsSnowflakePySpark Spark SQLScalaHadoopKafka AirflowInformaticaData Warehousing AWS GlueAmazon S3Amazon EMRRedshift LambdaStep FunctionsSnowflakePySpark Spark SQLScalaHadoopKafka AirflowInformaticaData Warehousing
01

Profile

I build production data systems that move, transform, validate, and serve enterprise data across AWS, Hadoop, Spark, Snowflake, and relational platforms.

AWS Data Engineer with 12+ years of experience designing, modernizing, and supporting cloud data platforms, big data workloads, ETL/ELT pipelines, and enterprise data warehouses.

My work spans AWS Glue, Amazon S3, EMR, Redshift, Lambda, Step Functions, Snowflake, PySpark, Spark SQL, Scala, Hadoop, Hive, Kafka, Informatica, Airflow, and CI/CD pipelines for batch and near-real-time data delivery.

My delivery focus includes source-to-target controls, data quality, performance tuning, dimensional modeling, orchestration, security, and dependable production support across six industry domains.

At a glance

Based inUnited States
DisciplineAWS Data Engineering
Experience12+ years
EducationM.S. Information Technology
Core stackAWS Glue · PySpark · Snowflake
StatusOpen to AWS data roles
02

Selected experience

01
Nov 2024 — PresentHouston, TX

AWS Data Engineer

High Radius Technology
AWS GlueRedshiftSnowflake
  • Supported end-to-end AWS Glue pipelines for invoices, payments, remittances, deductions, collections, and customer-account data.
  • Integrated ERP, CRM, bank, MySQL, Cassandra, API, and file data into curated Amazon Redshift and Snowflake layers.
  • Built PySpark, Spark SQL, Lambda, EMR, Databricks, Airflow/MWAA, and Step Functions workflows with retries, alerts, and recovery procedures.
  • Established CI/CD for data pipelines using CodePipeline, CodeBuild, Jenkins, Git, automated tests, and controlled release workflows.
02
Jan 2023 — Oct 2024Springfield, IL

AWS Data Engineer

State of Illinois
Public SectorEMRDatabricks
  • Implemented public-sector data solutions using Hadoop, Cloudera, Spark, AWS services, Amazon Redshift, and Snowflake.
  • Migrated on-premises Oracle ETL workloads to Amazon EMR, Databricks, Redshift, and Snowflake while preserving source-to-target controls.
  • Protected government datasets with AWS IAM and Secrets Manager while optimizing PySpark and Spark SQL jobs through partitioning, caching, and join tuning.
03
Oct 2020 — Dec 2022Athens, GA

Data Engineer

InnovaCare Health
Healthcare DataPySparkAWS Glue
  • Built AWS Glue pipelines for member, provider, eligibility, claims, encounter, and clinical-quality data from disparate healthcare systems.
  • Prepared source-to-target mappings, data-flow rules, and architecture documents for ingestion, transformation, security, lineage, and recovery.
  • Provisioned EMR and Databricks for secure batch and continuous processing, then built SQL components for healthcare staging, audit, transformation, and reporting.
04
Apr 2018 — Sep 2020McLean, VA

Big Data Developer

Giant Food
HadoopHiveMapReduce
  • Created Hadoop data solutions for retail POS, product, pricing, promotion, inventory, loyalty, pharmacy, and store operations data.
  • Installed and configured Hive, Pig, Sqoop, Flume, Oozie, HBase, Impala, Storm, Solr, and supporting Hadoop components.
  • Implemented Spark and Java MapReduce processing for XML, JSON, CSV, compressed files, logs, and retail feeds, with Cloudera-based operational support.
05
Jun 2016 — Mar 2018Chicago, IL

ETL Developer

Morningstar, Inc.
InformaticaOracleMarket Data
  • Translated investment-data requirements into source-to-target ETL specifications, technical designs, and delivery estimates.
  • Designed Informatica mappings, sessions, workflows, UNIX scripts, and parameter files for market, security, fund, pricing, and reference data.
  • Built reconciliation and UAT controls, and created SCD Type 1 and Type 2 dimensions and star schemas for investment analytics.
06
Jan 2014 — May 2016Baltimore, MD

ETL Developer

Transamerica
Data WarehouseInformaticaSSIS
  • Implemented enterprise data-warehouse solutions for insurance, retirement, policy, premium, claims, customer, and financial reporting data.
  • Built Informatica PowerCenter mappings and Mapplets to cleanse and load data into Operational Data Store and reporting structures.
  • Designed complex Informatica mappings and delivered SSIS, SSRS, VBA, and controlled flat-file components for insurance and retirement reporting.
12+
Years across cloud, big data, ETL, and warehouse delivery
6
Domains: finance, government, healthcare, retail, investment, insurance
AWS
Glue, S3, EMR, Redshift, Lambda, Step Functions, Kinesis, IAM
ETL
Batch, streaming, orchestration, data quality, CI/CD, production support
03

Engineering case studies

Finance SaaS · Cloud Data Platform

Receivables Data Lake & Finance Pipelines

Designed and supported AWS Glue, Lambda, EMR, Databricks, Airflow/MWAA, Step Functions, Redshift, and Snowflake workflows for invoices, payments, remittances, deductions, collections, customer accounts, ERP, CRM, bank, API, and secure-file sources.

AWS
Cloud-native pipelines
CI/CD
Controlled releases
DQ
Audit and reconciliation
AWS GlueLambdaEMR SnowflakeRedshiftKafka
Experience-backed summary
Government · Data Modernization

Public-Sector Data Lake Modernization

Migrated on-premises Oracle ETL workloads and file-based feeds into Amazon S3, EMR, Databricks, Redshift, and Snowflake while preserving source-to-target controls, service identities, protected-data access, batch schedules, and reporting requirements.

Hybrid
Cloud and Hadoop
IAM
Protected access
Amazon S3EMRDatabricksHive
Experience-backed summary
Healthcare · Claims Data Engineering

Claims, Eligibility & Provider Pipelines

Built AWS Glue, EMR, Databricks, DynamoDB, PySpark, Spark Streaming, and SQL workflows for member, provider, eligibility, claims, encounter, and clinical-quality data with security, lineage, recovery, and downstream interface documentation.

PHI
Protected workflows
Spark
Batch and streaming
AWS GluePySparkEMRDynamoDB
Experience-backed summary
04

Core competencies

Cloud data architecture · ETL/ELT · Big data processing

Data platforms built for scale, controls, and production support

Pipelines
ETL/ELT, batch, streaming, orchestration
Platforms
AWS, Hadoop, Spark, Snowflake, Redshift
Warehousing
Data marts, ODS, star and snowflake schemas
Governance
Validation, lineage, security, source-to-target mapping
View tools
05

Technical toolkit

01 / Architecture

Cloud data platforms

AWS data lakes, analytical warehouses, secure services, and hybrid modernization.

02 / Pipelines

ETL and ELT delivery

Batch, event-driven, and streaming ingestion with source-to-target controls.

03 / Processing

Spark engineering

PySpark, Spark SQL, Scala, partitioning, caching, joins, and performance tuning.

04 / Warehousing

Data modeling

ODS, data marts, dimensional models, star schemas, and SCD patterns.

05 / Reliability

Data quality

Validation, reconciliation, lineage, audit controls, monitoring, and recovery.

06 / Delivery

Orchestration and CI/CD

Airflow, Step Functions, CodePipeline, CodeBuild, Jenkins, Git, and release controls.

Cloud/ 01
AWS GlueAmazon S3Redshift RDSAthenaDynamoDB EMRLambdaStep Functions KinesisCloudWatchIAM Secrets ManagerDatabricks
Programming/ 02
PythonPySparkScala Shell ScriptPerl Script SQLJavaPL/SQL
Big Data/ 03
HadoopHDFSMapReduce YARNSparkSpark SQL Spark StreamingSqoopHive OozieKafkaFlume ImpalaStormSolrPig
Warehouse, ETL & BI/ 04
InformaticaSSISSSAS SSRSSnowflakeOracle MySQLSQL ServerPostgreSQL MongoDBCassandraQuickSight TableauPower BIGitHub
06

Education & foundation

Education/ Degree
Master's in Information Technology
Catholic University of America
Aug 2012 — Dec 2013
Bachelor of Computer Science and Technology
Lovely Professional University
Aug 2008 — Apr 2012
Methods/ Delivery
✓
Agile, Scrum, SDLC, CI/CD
Delivery methodology
✓
Data governance, quality assurance, and production support
Operational controls
07

Delivery scope

Finance SaaS

Receivables & Payments

Invoices, remittances, deductions, collections, reconciliation, and customer-account data.
AWS Glue · Redshift · Snowflake · Kafka
Public Sector

Agency Data Platforms

Government datasets, protected access, Oracle migration, analytical warehouses, and reporting feeds.
S3 · EMR · Databricks · IAM
Healthcare

Claims & Eligibility

Member, provider, claims, encounter, clinical-quality, lineage, security, and recovery workflows.
AWS Glue · PySpark · EMR · DynamoDB
Retail

Store Operations Data

POS, product, pricing, promotion, inventory, loyalty, pharmacy, and transaction processing.
Hadoop · Hive · MapReduce · Spark
Investment Data

Market & Reference Data

Security, fund, portfolio, pricing, reference data, star schemas, SCD Type 1 and Type 2.
Informatica · Oracle · UNIX
Insurance

Policy & Claims Warehousing

Policy, premium, claims, customer, financial reporting, ODS loads, SSIS, and SSRS support.
Informatica · SQL Server · SSIS
Let's build reliable data platforms

Need cloud pipelines, warehouses,
or production data systems?

Open to AWS Data Engineer and enterprise data engineering opportunities in the United States.

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