A.SINGH // DATA_ENG
PORTFOLIO // 2026.SYS

ARCHITECTING_
SCALABLE_
DATA_SYSTEMS

3.4 years building production ETL pipelines at Wipro for L'Oreal USA and Citibank. Specializing in SQL optimization, Informatica PowerCenter, and enterprise batch processing — delivering on-time results for Fortune 500 clients.

SELECTED_WORK

DEPLOYMENT_LOG.XLSX
01

ETL Pipeline // L'Oreal USA

SQL / INFORMATICA SSMS / SSIS
STATUS
DEPLOYED
QUERY TIME
-30% FASTER
SCOPE
SALES & FINANCE
02

Batch Job Automation // Citibank

SQL / AUTOSYS TIDAL / SSAS
STATUS
STABLE
PRODUCTIVITY
+20% GAIN
PROCESS
DAILY_WKLY_MTH
03

BGL Time Series Forecasting

PYTHON / SKLEARN TIME SERIES
STATUS
COMPLETED
TYPE
ACADEMIC
DOMAIN
HEALTHCARE
High-density server racks
IMG_SRC: DC_CLUSTER_B
ENGINEERING_CORE

Data as
Infrastructure

I view data not as a static resource, but as a kinetic foundation. Built on 3.4 years of enterprise ETL at Wipro, every pipeline I engineer is a first-class, auditable product.

Every component I build adheres to three core tenets: Determinism, Fault-Tolerance, and Observed Scalability.

  • check_circle Fault-Tolerant ETL Design
  • check_circle Stored Procedure Optimization
  • check_circle Data Integrity Assurance

SYSTEM_METRICS

3.4 YRS
TOTAL_EXPERIENCE
30%
QUERY_TIME_REDUCTION
20%
PRODUCTIVITY_GAIN
database
Expansion Potential

ETL pipelines engineered for client-specific needs — sales, inventory, and financial data — with cross-environment data integrity across production and PAT environments.

CONTACT.INIT // OPEN_CHANNEL

ESTABLISH_
CONNECTION

Transmission protocols open. Route your signal through the form — response latency typically <24H.

ENDPOINT
animeshsingh5770@gmail.com
CLUSTER_REGION
BENGALURU // UTC+5:30
UPLINK_STATUS
LIVE
TRANSMISSION_FORM // REQUIRED_FIELDS
ENCRYPTION: TLS_1.3
IDLE